Triple

T28132120
Position Surface form Disambiguated ID Type / Status
Subject Sula nebouxii E711093 entity
Predicate sexualSelectionTrait P1333 FINISHED
Object foot color intensity 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: foot color intensity | Statement: [Sula nebouxii, sexualSelectionTrait, foot color intensity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sexualSelectionTrait
Context triple: [Sula nebouxii, sexualSelectionTrait, foot color intensity]
  • A. breedingTrait
    Indicates that an entity possesses a heritable characteristic that is relevant or targeted in a breeding process or program.
  • B. sexualDimorphism chosen
    Indicates differences in physical characteristics between males and females of a species that are systematically associated with their sex.
  • C. reproductiveFeature
    Indicates a relationship where an entity possesses or is characterized by a particular reproductive trait, structure, or capability.
  • D. domesticationTrait
    Indicates that an entity possesses a characteristic or feature that contributes to or results from its domestication by another species.
  • E. biologicalCharacteristic
    Indicates that one entity possesses or exhibits a particular biological trait, feature, or property in relation to another.
  • 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_69ef9b73bd288190a21ae3d6aa14f386 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f6412b8ddc8190bc95eb63bd865ef7 completed May 2, 2026, 6:23 p.m.
PD Predicate disambiguation batch_69f63c6a8474819091b8c6fe98e3862d completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 9:24 p.m.