Triple

T658538
Position Surface form Disambiguated ID Type / Status
Subject MIT Club Taekwondo E11702 entity
Predicate martialArt P18145 FINISHED
Object taekwondo 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: taekwondo | Statement: [MIT Club Taekwondo, martialArt, taekwondo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: martialArt
Context triple: [MIT Club Taekwondo, martialArt, taekwondo]
  • A. hasBlackBeltIn
    Indicates that an entity holds a black belt rank or equivalent high-level certification in a specified martial art or discipline.
  • B. isPracticedBy
    Indicates that an activity, skill, or discipline is regularly performed or carried out by a particular entity.
  • C. hasFightingStance
    Indicates that an entity adopts or is characterized by a particular combat or fighting posture.
  • D. defensiveTactics
    Indicates the use or implementation of strategies, maneuvers, or methods intended to protect, guard, or defend against threats or attacks.
  • E. boxingStance
    Indicates the specific posture or positioning a boxer adopts while preparing to fight or engage in boxing actions.
  • F. None of above. chosen

Provenance (4 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0f55f7481909e052a25bd12d455 completed March 1, 2026, 8:26 p.m.
PD Predicate disambiguation batch_69a49d1406ec8190abf546549264c85d completed March 1, 2026, 8:09 p.m.
PDg Predicate description generation batch_69a4a0f405748190ba72a9cfe946a8ec completed March 1, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:36 p.m.