Triple
T11907272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnotaurus |
E283301
|
entity |
| Predicate | jawAdaptation |
P89874
|
FINISHED |
| Object | strong bite for seizing prey |
—
|
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: strong bite for seizing prey | Statement: [Carnotaurus, jawAdaptation, strong bite for seizing prey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jawAdaptation Context triple: [Carnotaurus, jawAdaptation, strong bite for seizing prey]
-
A.
jawType
Indicates the specific kind or classification of jaw structure associated with an entity.
-
B.
jawMechanics
Indicates the functional relationship between jaw structure and its movements or forces during actions like biting, chewing, or speaking.
-
C.
jawFunction
chosen
Indicates the functional role, movement, or mechanical action performed by a jaw in relation to other anatomical structures or processes.
-
D.
hasJaw
Indicates that one entity possesses or is equipped with a jaw as a physical anatomical feature.
-
E.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e5264b2081909bda6c24abb89725 |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.