---
title: Britain bought lots of tea from China and paid in silver; British tr… — Olympiad: cause and effect chains ★★★ · tree and pragmatics
description: Britain bought lots of tea from China and paid in silver; British traders then sold the harmful drug opium in China to get silver back, China banned it, and the Opium War of 1839–1842 ended with Hong Kong going to Britain. Who acts: Britain, British traders, China, Opium War. A sentence of the lesso
---

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# Olympiad: cause and effect chains ★★★, sentence 19

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Britain bought lots of tea from China and paid in silver; British traders then sold the harmful drug opium in China to get silver back, China banned it, and the Opium War of 1839–1842 ended with Hong Kong going to Britain.

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**Who acts:** Britain, British traders, China, Opium War, Hong · **What happens:** buy, pay, sell, get back, ban, end · **To what, where:** lots, China, silver, harmful drug opium, Britain

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This is a sentence of the lesson «Olympiad: cause and effect chains ★★★» of the history course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (Britain, British traders, China, Opium War), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:history:086-olympiad-cause-and-effect-chains.lesson:19
# text = Britain bought lots of tea from China and paid in silver; British traders then sold the harmful drug opium in China to get silver back, China banned it, and the Opium War of 1839–1842 ended with Hong Kong going to Britain.
# source = school lesson (ours)
# course = history
# lesson = 086-olympiad-cause-and-effect-chains.lesson
# annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R3-conj-first ×1, R6-punct-agree ×1, R7-rel-agree ×1
1	Britain	Britain	PROPN	NNP	Number=Sing	2	nsubj	_	_
2	bought	buy	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	lots	lot	NOUN	NNS	Number=Plur	2	obj	_	_
4	of	of	ADP	IN	_	5	case	_	_
5	tea	tea	NOUN	NN	Number=Sing	3	nmod	_	_
6	from	from	ADP	IN	_	7	case	_	_
7	China	China	PROPN	NNP	Number=Sing	2	obl	_	_
8	and	and	CCONJ	CC	_	9	cc	_	_
9	paid	pay	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	2	conj	_	_
10	in	in	ADP	IN	_	11	case	_	_
11	silver	silver	NOUN	NN	Number=Sing	9	obl	_	_
12	;	;	PUNCT	,	_	16	punct	_	_
13	British	British	ADJ	JJ	Degree=Pos	14	amod	_	_
14	traders	trader	NOUN	NNS	Number=Plur	16	nsubj	_	_
15	then	then	ADV	RB	PronType=Dem	16	advmod	_	_
16	sold	sell	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	2	parataxis	_	Agree=R7-rel-agree|Haiku=2:conj
17	the	the	DET	DT	Definite=Def|PronType=Art	20	det	_	_
18	harmful	harmful	ADJ	JJ	Degree=Pos	20	amod	_	_
19	drug	drug	NOUN	NN	Number=Sing	20	compound	_	_
20	opium	opium	NOUN	NN	Number=Sing	16	obj	_	_
21	in	in	ADP	IN	_	22	case	_	_
22	China	China	PROPN	NNP	Number=Sing	16	obl	_	_
23	to	to	PART	TO	_	24	mark	_	_
24	get	get	VERB	VB	VerbForm=Inf	16	advcl	_	_
25	silver	silver	NOUN	NN	Number=Sing	24	obj	_	_
26	back	back	ADV	RB	_	24	advmod	_	_
27	,	,	PUNCT	,	_	29	punct	_	_
28	China	China	PROPN	NNP	Number=Sing	29	nsubj	_	_
29	banned	ban	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	2	conj	_	_
30	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	29	obj	_	_
31	,	,	PUNCT	,	_	40	punct	_	Agree=R6-punct-agree|Haiku=35:punct
32	and	and	CCONJ	CC	_	40	cc	_	_
33	the	the	DET	DT	Definite=Def|PronType=Art	35	det	_	_
34	Opium	Opium	PROPN	NNP	Number=Sing	35	compound	_	_
35	War	War	PROPN	NNP	Number=Sing	40	nsubj	_	_
36	of	of	ADP	IN	_	37	case	_	_
37	1839	1839	NUM	CD	NumForm=Digit|NumType=Card	35	nmod	_	_
38	–	–	SYM	SYM	ExtPos=ADP	37	punct	_	_
39	1842	1842	NUM	CD	NumForm=Digit|NumType=Card	37	conj	_	_
40	ended	end	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	2	conj	_	Agree=R3-conj-first|Haiku=29:conj
41	with	with	SCONJ	IN	_	44	mark	_	_
42	Hong	Hong	PROPN	NNP	Number=Sing	44	nsubj	_	_
43	Kong	Kong	PROPN	NNP	Number=Sing	42	flat	_	_
44	going	go	VERB	VBG	Tense=Pres|VerbForm=Part	40	advcl	_	_
45	to	to	ADP	IN	_	46	case	_	_
46	Britain	Britain	PROPN	NNP	Number=Sing	44	obl	_	_
47	.	.	PUNCT	.	_	2	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- sa -->
- form: statement
- act: narrate
- voice: narrator
- polarity: none
- teacher: kept the draft

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **buy** | past | Britain | lots of tea |  | China |  |  | vn get-13.5.1 «NP V NP PP.source»: agent=Agent lot=Theme from china=Source |
| 2 | **pay** | past | Britain *not said here* |  |  | silver |  |  | vn pay-68-1 «NP V NP»: agent=Agent |
| 3 | **sell** | past | British traders | the harmful drug opium |  | China | then |  | vn give-13.1-1 «NP V NP»: agent=Agent opium=Theme |
| 4 | **get back** | to-infinitive | British traders *not said here* | silver |  |  |  |  | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer silver=Stimulus |
| 5 | **ban** | past | China | silver |  |  |  |  | vn forbid-64.4-1 «NP V NP»: agent=Causer it=Theme |
| 6 | **end** | past | the Opium War of 1839 |  |  |  |  |  | vn stop-55.4-1-1 «NP.eventuality V»: agent=Eventuality |
| 7 | **go** | gerund | Hong |  |  | Britain |  |  | vn escape-51.1-1 «NP V PP.initial\_location»: agent=Theme to britain=Initial\_Location |

<!-- .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.

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**Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:history:086-olympiad-cause-and-effect-chains.lesson:19`.

**The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R3-conj-first ×1, R6-punct-agree ×1, R7-rel-agree ×1. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/).

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- ← previous: [Olympiad: cause and effect chains ★★★, 18](https://md.mova.elamur.ai/free/en/corpora/school/history/86-olympiad-cause-and-effect-chains/18/)
- next →: [Olympiad: cause and effect chains ★★★, 21](https://md.mova.elamur.ai/free/en/corpora/school/history/86-olympiad-cause-and-effect-chains/21/)
- ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/history/86-olympiad-cause-and-effect-chains/)

