Triple

T18595153
Position Surface form Disambiguated ID Type / Status
Subject Acinonyx E454473 entity
Predicate sensoryAdaptationsOfSpecies P81228 FINISHED
Object keen vision for daytime hunting 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: keen vision for daytime hunting | Statement: [Acinonyx, sensoryAdaptationsOfSpecies, keen vision for daytime hunting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sensoryAdaptationsOfSpecies
Context triple: [Acinonyx, sensoryAdaptationsOfSpecies, keen vision for daytime hunting]
  • A. hasSensoryAdaptation chosen
    Indicates that an entity possesses a specialized sensory modification or adjustment that enhances its ability to detect, process, or respond to environmental stimuli.
  • B. hasHumanAdaptation
    Indicates that something has been modified, designed, or adjusted specifically to suit human use, abilities, or needs.
  • C. hasSensoryOrgans
    Indicates that an entity possesses organs specialized for sensing or perceiving stimuli from its environment.
  • D. adaptationIn
    Indicates that something appears, is represented, or takes place within a particular adaptation of an original work.
  • E. hasAquaticAdaptationsIn
    Indicates that an entity possesses physical or behavioral adaptations suited for living or functioning in a specified aquatic environment.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545ba3bc881908f5308e09d54e05b completed April 19, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69e478cf5e888190a0b1074b0c6525df completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:44 a.m.