Triple

T19530701
Position Surface form Disambiguated ID Type / Status
Subject Taekkyeon E488644 entity
Predicate relatedTo P37 FINISHED
Object Taekwondo NE NERFINISHED

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: [Taekkyeon, relatedTo, Taekwondo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taekwondo
Context triple: [Taekkyeon, relatedTo, Taekwondo]
  • A. Taekwondo chosen
    Taekwondo is a Korean martial art and Olympic sport known for its dynamic kicking techniques, fast footwork, and emphasis on discipline and self-control.
  • B. Taekkyeon
    Taekkyeon is a traditional Korean martial art characterized by fluid, dance-like footwork, rhythmic movements, and graceful yet powerful kicking techniques.
  • C. Karate
    Karate is a striking-based martial art from the Ryukyu Islands of Japan that emphasizes powerful punches, kicks, and defensive techniques practiced through forms and sparring.
  • D. TKD
    TKD is the commonly used abbreviation for the Faculty of Technology, Art and Design.
  • E. Chun Kuk Do
    Chun Kuk Do is a hybrid martial arts system created by Chuck Norris that blends elements of traditional Korean and Japanese styles with his own fighting philosophy and techniques.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363ec6cc8190b9e9ac0196b288f9 completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.