---
title: Grapes, raisins and sultanas can badly damage a dog's kidneys; some… — Foods that are dangerous for pets: chocolate, gr… · tree and pragmatics
description: Grapes, raisins and sultanas can badly damage a dog's kidneys; some dogs get very ill from a few and others less, so no amount is known to be safe. Who acts: Grapes, dogs. A sentence of the lesson «Foods that are dangerous for pets: chocolate, grapes, onions and lilies» of the biology course of Mova
---

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# Foods that are dangerous for pets: chocolate, grapes, onions and lilies, sentence 7

<!-- .ven lang=en -->
Grapes, raisins and sultanas can badly damage a dog's kidneys; some dogs get very ill from a few and others less, so no amount is known to be safe.

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**Who acts:** Grapes, dogs · **What happens:** damage, get, know, be · **To what, where:** kidneys, few, amount

<!-- .vabout -->
This is a sentence of the lesson «Foods that are dangerous for pets: chocolate, grapes, onions and lilies» of the biology 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 (Grapes, dogs), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:331-foods-that-are-dangerous-for-pets-chocolate-grapes-onions-and-lilies.lesson:7
# text = Grapes, raisins and sultanas can badly damage a dog's kidneys; some dogs get very ill from a few and others less, so no amount is known to be safe.
# source = school lesson (ours)
# course = biology
# lesson = 331-foods-that-are-dangerous-for-pets-chocolate-grapes-onions-and-lilies.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, R5-strong ×1, R7-rel-agree ×1
1	Grapes	grape	NOUN	NNS	Number=Plur	8	nsubj	_	_
2	,	,	PUNCT	,	_	3	punct	_	_
3	raisins	raisin	NOUN	NNS	Number=Plur	1	conj	_	_
4	and	and	CCONJ	CC	_	5	cc	_	_
5	sultanas	sultana	NOUN	NNS	Number=Plur	1	conj	_	Agree=R3-conj-first|Haiku=3:conj
6	can	can	AUX	MD	VerbForm=Fin	8	aux	_	_
7	badly	badly	ADV	RB	Degree=Pos	8	advmod	_	_
8	damage	damage	VERB	VB	VerbForm=Inf	0	root	_	_
9	a	a	DET	DT	Definite=Ind|PronType=Art	10	det	_	_
10	dog	dog	NOUN	NN	Number=Sing	12	nmod:poss	_	_
11	's	's	PART	POS	_	10	case	_	_
12	kidneys	kidney	NOUN	NNS	Number=Plur	8	obj	_	_
13	;	;	PUNCT	,	_	8	punct	_	_
14	some	some	DET	DT	PronType=Ind	15	det	_	_
15	dogs	dog	NOUN	NNS	Number=Plur	16	nsubj	_	Agree=R5-strong|Haiku=18:nsubj
16	get	get	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	8	parataxis	_	_
17	very	very	ADV	RB	_	18	advmod	_	_
18	ill	ill	ADJ	JJ	Degree=Pos	16	xcomp	_	_
19	from	from	ADP	IN	_	21	case	_	_
20	a	a	DET	DT	Definite=Ind|PronType=Art	21	det	_	_
21	few	few	ADJ	JJ	Degree=Pos	16	obl	_	_
22	and	and	CCONJ	CC	_	24	cc	_	_
23	others	other	NOUN	NNS	Number=Plur	24	nsubj	_	_
24	less	less	ADV	RBR	Degree=Cmp	16	advmod	_	_
25	,	,	PUNCT	,	_	30	punct	_	_
26	so	so	ADV	RB	_	30	advmod	_	_
27	no	no	DET	DT	PronType=Neg	28	det	_	_
28	amount	amount	NOUN	NN	Number=Sing	30	nsubj:pass	_	_
29	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	30	aux:pass	_	_
30	known	know	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	8	parataxis	_	Agree=R7-rel-agree|Haiku=8:advcl
31	to	to	PART	TO	_	33	mark	_	_
32	be	be	AUX	VB	VerbForm=Inf	33	cop	_	_
33	safe	safe	ADJ	JJ	Degree=Pos	30	xcomp	_	_
34	.	.	PUNCT	.	_	8	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- .note -->
No stored speech act for this sentence.

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **damage** | can | Grapes and raisins and sultanas | a dog's kidneys |  |  |  | badly *property* | vn destroy-44 «NP.instrument V NP»: agent=Instrument kidney=Patient |
| 2 | **get** | present | some dogs |  |  | a few |  | ill, less *property* | vn escape-51.1 «NP V PP.destination»: agent=Theme from few=Destination |
| 3 | **know** | present · passive |  | no amount |  |  |  |  | vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: subject=Stimulus |
| 4 | **is** | to-infinitive |  |  |  |  |  | safe *property* | tree rules |

<!-- .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:biology:331-foods-that-are-dangerous-for-pets-chocolate-grapes-onions-and-lilies.lesson:7`.

**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, R5-strong ×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: [Foods that are dangerous for pets: cho…, 6](https://md.mova.elamur.ai/free/en/corpora/school/biology/331-foods-that-are-dangerous-for-pets-chocolate-grapes-onions-and-lilies/6/)
- next →: [Foods that are dangerous for pets: cho…, 9](https://md.mova.elamur.ai/free/en/corpora/school/biology/331-foods-that-are-dangerous-for-pets-chocolate-grapes-onions-and-lilies/9/)
- ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/biology/331-foods-that-are-dangerous-for-pets-chocolate-grapes-onions-and-lilies/)

