Triple

T20749468
Position Surface form Disambiguated ID Type / Status
Subject MMA E510679 entity
Predicate governingBody P46 FINISHED
Object Bellator MMA 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: Bellator MMA | Statement: [MMA, governingBody, Bellator MMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellator MMA
Context triple: [MMA, governingBody, Bellator MMA]
  • A. Bellator MMA chosen
    Bellator MMA is a major American mixed martial arts organization known for hosting high-profile tournaments and events featuring prominent fighters from around the world.
  • B. Alliance MMA
    Alliance MMA is a prominent mixed martial arts training camp known for producing high-level fighters who compete in major global promotions.
  • C. Pride Fighting Championships
    Pride Fighting Championships was a major Japanese mixed martial arts organization known for its star-studded tournaments, grand spectacle, and significant influence on the global MMA scene in the late 1990s and early 2000s.
  • D. Strikeforce
    Strikeforce was a prominent American mixed martial arts promotion known for hosting high-level fighters and events before being acquired by the UFC.
  • E. UFC
    UFC is the commonly used abbreviation for the University of Franche-Comté, a French public university based in Besançon.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c228af288190a20829d45c034c24 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:34 p.m.