Triple
T5276084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alligatoridae |
E119373
|
entity |
| Predicate | toothVisibility |
P35359
|
FINISHED |
| Object | lower teeth mostly hidden when mouth closed |
—
|
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: lower teeth mostly hidden when mouth closed | Statement: [Alligatoridae, toothVisibility, lower teeth mostly hidden when mouth closed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toothVisibility Context triple: [Alligatoridae, toothVisibility, lower teeth mostly hidden when mouth closed]
-
A.
hasTeeth
Indicates that one entity possesses teeth as a physical feature.
-
B.
incisorCount
Indicates the number of incisor teeth an entity has.
-
C.
dentition
chosen
Indicates the type, arrangement, or condition of teeth that an entity possesses.
-
D.
mouthNear
Indicates that one entity’s mouth is positioned close to another entity or object in space.
-
E.
mouthState
Indicates the current condition or configuration of an entity’s mouth, such as whether it is open, closed, or in another specific state.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:51 p.m.