Triple

T37676221
Position Surface form Disambiguated ID Type / Status
Subject Wilson A2K E938100 entity
Predicate positionVariants P33537 FINISHED
Object infield gloves 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: infield gloves | Statement: [Wilson A2K, positionVariants, infield gloves]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionVariants
Context triple: [Wilson A2K, positionVariants, infield gloves]
  • A. positions
    Indicates that one entity assigns, arranges, or places another entity in a specific location, role, or order relative to others.
  • B. displacementVariant chosen
    Indicates a relationship where one entity is an alternative or modified form of another that differs specifically in its spatial position or displacement.
  • C. possiblePosition
    Indicates that a given location or arrangement is a valid or allowable position for the entity within the specified context or constraints.
  • D. positionInCase
    Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
  • E. positionB
    Indicates that one entity occupies or is located at a specific position relative to another entity.
  • 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_69f76ed7b1408190ba8c93c53cb8becf completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ffe613c03481909f3043ec8bf0bed9 completed May 10, 2026, 1:57 a.m.
PD Predicate disambiguation batch_69ffe4a73fb4819091600725a443981a completed May 10, 2026, 1:51 a.m.
Created at: May 3, 2026, 4:18 p.m.