Triple

T31092289
Position Surface form Disambiguated ID Type / Status
Subject Javan warty pig E792420 entity
Predicate hasSkinFeature P8035 FINISHED
Object facial warts 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: facial warts | Statement: [Javan warty pig, hasSkinFeature, facial warts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSkinFeature
Context triple: [Javan warty pig, hasSkinFeature, facial warts]
  • A. hasPhysicalFeature
    Indicates that one entity possesses or exhibits a specific physical characteristic or feature of another entity.
  • B. hasFacialSkinColor
    Indicates that one entity has a specific facial skin color characterized or attributed by another entity.
  • C. hasSkin
    Indicates that one entity possesses skin as a covering or outer tissue layer.
  • D. skinCharacteristic chosen
    Indicates a relationship where an entity is associated with a particular quality, feature, or condition of its skin.
  • E. hasHumanCharacteristic
    Indicates that an entity possesses a trait, quality, or behavior typically associated with 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_69f224cf157c81909e2d2bd88c9282c3 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f697eabb048190bc01a830f14942c6 completed May 3, 2026, 12:33 a.m.
PD Predicate disambiguation batch_69f69664142c8190bc695501056b0236 completed May 3, 2026, 12:27 a.m.
Created at: April 29, 2026, 9:02 p.m.