Triple

T6848646
Position Surface form Disambiguated ID Type / Status
Subject Tremarctinae E157957 entity
Predicate distinguishedFromOtherBearsBy P62520 FINISHED
Object cranial morphology and facial shortening 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: cranial morphology and facial shortening | Statement: [Tremarctinae, distinguishedFromOtherBearsBy, cranial morphology and facial shortening]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distinguishedFromOtherBearsBy
Context triple: [Tremarctinae, distinguishedFromOtherBearsBy, cranial morphology and facial shortening]
  • A. bears
    Indicates that one entity carries, supports, or endures the weight, burden, or responsibility of another entity or condition.
  • B. lionAttribute
    Indicates that one entity has an attribute, property, or characteristic related to a lion in relation to another entity.
  • C. kinsmanOf
    Indicates a familial relationship in which one person is a relative or kin of another.
  • D. physicalCharacteristics chosen
    Indicates that one entity has or describes the bodily or material attributes, features, or appearance of another entity.
  • E. basedOnAnimalNativeTo
    Indicates that something is derived from, inspired by, or modeled after an animal that is native to a specified geographic region.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7ce3e7481908e0472b8faafa473 completed March 27, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69c6d0a12834819097d7e6c0b823745e completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:20 p.m.