---
title: Which of the following statements most accurately characterises the… — Famous discoveries told as stories · tree and pragmatics
description: Which of the following statements most accurately characterises the contribution of Antoine Lavoisier? Exam question 2 of lesson 35 «Famous discoveries told as stories» of the chemistry course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova'
---

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# Exam question 2 · Famous discoveries told as stories

<!-- .ven lang=en -->
Which of the following statements most accurately characterises the contribution of Antoine Lavoisier?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **What happens:** follow, characteris, contribute · **To what, where:** contribution, Antoine Lavoisier

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This is exam question 2 of lesson 35 «Famous discoveries told as stories» of the chemistry course of Mova's primary school, asked in stiff, formal language. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/chemistry/35-famous-discoveries-stories/#e2).

## The question {#question}

```conllu
# sent_id = question:chemistry:35-famous-discoveries-stories:e2:1
# text = Which of the following statements most accurately characterises the contribution of Antoine Lavoisier?
1	Which	which	PRON	WDT	PronType=Rel	8	nsubj	_	_
2	of	of	ADP	IN	_	5	case	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
4	following	follow	VERB	VBG	VerbForm=Ger	5	amod	_	_
5	statements	statement	NOUN	NNS	Number=Plur	8	obl	_	_
6	most	most	ADV	RBS	Degree=Sup	7	advmod	_	_
7	accurately	accurately	ADV	RB	_	8	advmod	_	_
8	characterises	characteris	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
9	the	the	DET	DT	Definite=Def|PronType=Art	10	det	_	_
10	contribution	contribution	NOUN	NN	Number=Sing	8	obj	_	_
11	of	of	ADP	IN	_	13	case	_	_
12	Antoine	Antoine	PROPN	NNP	Number=Sing	13	compound	_	_
13	Lavoisier	Lavoisier	PROPN	NNP	Number=Sing	10	nmod	_	SpaceAfter=No
14	?	?	PUNCT	.	_	8	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **follow** | gerund |  |  |  |  |  |  | vn occur-48.3-1 «NP V»: agent=Theme |
| 2 | **characteris** | present |  | the contribution of Antoine Lavoisier |  |  |  | of the following statements; accurately *property* | tree rules |
| 3 | **contribute** |  |  | Antoine Lavoisier |  |  |  |  | nom contribution «act transitive»: of=patient |

<!-- .note -->
One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
He photographed the structure of DNA

```conllu
# sent_id = question:chemistry:35-famous-discoveries-stories:e2:o1:1
# text = He photographed the structure of DNA
1	He	he	PRON	PRP	Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	photographed	photograph	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
4	structure	structure	NOUN	NN	Number=Sing	2	obj	_	_
5	of	of	ADP	IN	_	6	case	_	_
6	DNA	DNA	NOUN	NN	Number=Sing	4	nmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **photograph** | past | He | the structure of DNA |  |  |  |  | vn transcribe-25.4 «NP V NP»: agent=Agent structure=Theme |

### Option 2 {#o2}

<!-- .ven lang=en -->
He isolated polonium and radium from ore

```conllu
# sent_id = question:chemistry:35-famous-discoveries-stories:e2:o2:1
# text = He isolated polonium and radium from ore
1	He	he	PRON	PRP	Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	isolated	isolate	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	polonium	polonium	NOUN	NN	Number=Sing	2	obj	_	_
4	and	and	CCONJ	CC	_	5	cc	_	_
5	radium	radium	NOUN	NN	Number=Sing	3	conj	_	_
6	from	from	ADP	IN	_	7	case	_	_
7	ore	ore	NOUN	NN	Number=Sing	2	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **isolate** | past | He | polonium and radium |  | ore |  |  | vn concealment-16 «NP V NP PP.beneficiary»: agent=Agent polonium=Patient from ore=Beneficiary |

### Option 3 · ✓ the right answer {#o3}

<!-- .ven lang=en -->
He demonstrated by weighing that matter is conserved in reactions

```conllu
# sent_id = question:chemistry:35-famous-discoveries-stories:e2:o3:1
# text = He demonstrated by weighing that matter is conserved in reactions
1	He	he	PRON	PRP	Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	demonstrated	demonstrate	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	by	by	SCONJ	IN	_	4	mark	_	_
4	weighing	weigh	VERB	VBG	VerbForm=Ger	2	advcl	_	_
5	that	that	DET	DT	Number=Sing|PronType=Dem	6	det	_	_
6	matter	matter	NOUN	NN	Number=Sing	8	nsubj:pass	_	_
7	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	8	aux:pass	_	_
8	conserved	conserve	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	4	ccomp	_	_
9	in	in	ADP	IN	_	10	case	_	_
10	reactions	reaction	NOUN	NNS	Number=Plur	8	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **demonstrate** | past | He |  |  |  |  |  | vn transfer\_mesg-37.1.1 «NP V»: agent=Agent |
| 2 | **weigh** | gerund | He *not said here* |  |  |  |  |  | tree rules |
| 3 | **conserve** | present · passive |  | that matter |  | reactions |  |  | tree rules |

### Option 4 {#o4}

<!-- .ven lang=en -->
He arranged the elements upon cards into a table

```conllu
# sent_id = question:chemistry:35-famous-discoveries-stories:e2:o4:1
# text = He arranged the elements upon cards into a table
1	He	he	PRON	PRP	Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	arranged	arrange	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
4	elements	element	NOUN	NNS	Number=Plur	2	obj	_	_
5	upon	upon	ADP	IN	_	6	case	_	_
6	cards	card	NOUN	NNS	Number=Plur	2	obl	_	_
7	into	into	ADP	IN	_	9	case	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
9	table	table	NOUN	NN	Number=Sing	2	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **arrange** | past | He | the elements |  | a table |  | upon cards | vn put-9.1 «NP V NP PP.destination»: agent=Agent element=Theme upon card=Destination |

<!-- div src -->

**Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License.

<!-- /div -->

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- ← previous: [Famous discoveries told as stories, exam 1](https://md.mova.elamur.ai/free/en/corpora/questions/chemistry/35-famous-discoveries-stories/e1/)
- next →: [Famous discoveries told as stories, exam 3](https://md.mova.elamur.ai/free/en/corpora/questions/chemistry/35-famous-discoveries-stories/e3/)
- ↑ back to [Famous discoveries told as stories](https://md.mova.elamur.ai/free/en/corpora/questions/chemistry/35-famous-discoveries-stories/)