Triple

T36732740
Position Surface form Disambiguated ID Type / Status
Subject Ornitholestes E907383 entity
Predicate skeletonPostureInterpretation P87003 FINISHED
Object adapted for speed and agility 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: adapted for speed and agility | Statement: [Ornitholestes, skeletonPostureInterpretation, adapted for speed and agility]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: skeletonPostureInterpretation
Context triple: [Ornitholestes, skeletonPostureInterpretation, adapted for speed and agility]
  • A. describesPosture
    Indicates that one entity specifies or characterizes the bodily position or stance (posture) of another entity.
  • B. proceduralPosture
    Indicates the current stage or status of a legal case within the judicial or administrative process at the time it is being considered or described.
  • C. skeleton
    Indicates that one entity serves as the basic structural framework or underlying support for another.
  • D. skeletonFeature
    Indicates that one entity is a structural or anatomical skeletal feature or component of another entity.
  • E. interpretationOfBones chosen
    Indicates the act of analyzing and deriving meaning or conclusions from bones, such as for medical, archaeological, or forensic purposes.
  • 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_69f76e75aa6881909b844d00a3888ee5 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c9f5a8848190ba956ff27f44e396 completed May 3, 2026, 10:19 p.m.
PD Predicate disambiguation batch_69f7c8999a348190abc1895eaa6e036d completed May 3, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:12 p.m.