Triple

T6465785
Position Surface form Disambiguated ID Type / Status
Subject FIFA futsal laws of the game E142229 entity
Predicate governingBody P46 FINISHED
Object FIFA E23480 NE 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: FIFA | Statement: [FIFA futsal laws of the game, governingBody, FIFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FIFA
Context triple: [FIFA futsal laws of the game, governingBody, FIFA]
  • A. FIFA chosen
    FIFA is the international governing body of association football, responsible for organizing major global tournaments such as the FIFA World Cup and overseeing the sport’s rules and international governance.
  • B. NFL 2K
    NFL 2K is a critically acclaimed American football video game series known for its realistic gameplay and as a major competitor to EA Sports' Madden NFL franchise in the early 2000s.
  • C. PES
    PES is a major European political party that unites social-democratic, socialist, and labor parties from across the European Union.
  • D. IFA 2017
    IFA 2017 is a major annual consumer electronics trade show held in Berlin, Germany, where companies unveil new gadgets and technologies.
  • E. Madden
    Madden is a Scottish surname most prominently associated with actor Richard Madden, known for his roles in "Game of Thrones" and various film and television productions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a1159ec81909bbfa9a9d6fa1616 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bbc865c81909bf064b9253bc263 completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:49 p.m.