Triple
T1412767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nile crocodile |
E31840
|
entity |
| Predicate | jawStrength |
P6664
|
FINISHED |
| Object | very strong bite force |
—
|
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: very strong bite force | Statement: [Nile crocodile, jawStrength, very strong bite force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jawStrength Context triple: [Nile crocodile, jawStrength, very strong bite force]
-
A.
mouth
Indicates that one entity is the mouth (oral opening) of another entity, typically serving as the location for ingestion, speech, or related functions.
-
B.
mouthNear
Indicates that one entity’s mouth is positioned close to another entity or object in space.
-
C.
strength
chosen
Indicates the degree of power, intensity, or effectiveness with which an entity can act on, influence, or withstand another entity or force.
-
D.
mouthState
Indicates the current condition or configuration of an entity’s mouth, such as whether it is open, closed, or in another specific state.
-
E.
strengthPeak
Indicates the point or period at which an entity’s strength reaches its maximum level.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e3383c81909acb9c6c1c3b817a |
completed | March 1, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69a4bf048b648190ab77d9b45cb4855f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.