Triple
T3666333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vespa |
E77766
|
entity |
| Predicate | venom |
P17207
|
FINISHED |
| Object | contains cytolytic and neurotoxic components |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: contains cytolytic and neurotoxic components | Statement: [Vespa, venom, contains cytolytic and neurotoxic components]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: venom Context triple: [Vespa, venom, contains cytolytic and neurotoxic components]
-
A.
venomous
Indicates that an organism possesses venom and can inject or deliver it to another organism, typically as a means of defense or predation.
-
B.
venomFunction
chosen
Indicates the specific biological role or effect that a venom has when acting on a target.
-
C.
toxicTo
Indicates that one entity causes harm, poisoning, or adverse effects to another when exposed or applied.
-
D.
toxinType
Indicates the specific kind or category of toxin associated with an entity.
-
E.
lionTincture
Indicates a heraldic relationship where a lion is depicted in a specific color or pattern (tincture) on a coat of arms or shield.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc40188988190b1b7ac9c8240a5ff |
completed | March 8, 2026, 6:46 p.m. |
| PD | Predicate disambiguation | batch_69adb847e9d881909dad2ffd0f3b6c15 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.