Triple
T7971327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Entosphenus |
E185328
|
entity |
| Predicate | hasFeedingStructure |
P16676
|
FINISHED |
| Object | keratinous teeth |
—
|
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: keratinous teeth | Statement: [Entosphenus, hasFeedingStructure, keratinous teeth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFeedingStructure Context triple: [Entosphenus, hasFeedingStructure, keratinous teeth]
-
A.
feedingStructure
chosen
Indicates a relationship where one entity serves as the anatomical or mechanical structure used by another entity to obtain or ingest food.
-
B.
includesFeedingType
Indicates that one entity encompasses or specifies a particular type or category of feeding associated with another entity.
-
C.
feedingType
Indicates the manner or method by which one entity provides nourishment or food to another.
-
D.
isFedBy
Indicates that one entity receives nourishment, food, or sustenance from another entity.
-
E.
hasHumanStructure
Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd476108190988a75653a5c56d6 |
completed | March 31, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:13 p.m.