Triple

T2272765
Position Surface form Disambiguated ID Type / Status
Subject Guatemala national football team E50697 entity
Predicate fifaConfederation P24547 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: [Guatemala national football team, fifaConfederation, FIFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FIFA
Context triple: [Guatemala national football team, fifaConfederation, 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. PES
    PES is a major European political party that unites social-democratic, socialist, and labor parties from across the European Union.
  • C. EA Sports
    EA Sports is a video game brand of Electronic Arts best known for developing popular sports game franchises such as FIFA (now EA Sports FC) and Madden NFL.
  • D. NBA 2K
    NBA 2K is a long-running basketball video game series that simulates the NBA with realistic gameplay, teams, and players.
  • E. Sega Sports
    Sega Sports was Sega's sports-focused publishing label known for producing and releasing popular sports video game franchises in the late 1990s and early 2000s.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1e872448190a1d6c6071b2a294b completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71ddc66c81909525394a8b2bb4e0 completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.