Triple

T33313901
Position Surface form Disambiguated ID Type / Status
Subject Greece women's national football team E852959 entity
Predicate governsByRulesOf P6601 FINISHED
Object FIFA 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: FIFA | Statement: [Greece women's national football team, governsByRulesOf, FIFA]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governsByRulesOf
Context triple: [Greece women's national football team, governsByRulesOf, FIFA]
  • A. isRuleGoverned
    Indicates that an entity’s behavior, structure, or operation is determined and constrained by explicit rules or formal regulations.
  • B. governingJurisdictionForRules
    Indicates the legal or regulatory jurisdiction under whose authority a given set of rules or regulations applies.
  • C. governedInPartBy
    Indicates that something is subject to the authority, control, or influence of a governing entity, but only to a limited or partial extent rather than fully.
  • D. playedUnderRulesOf chosen
    Indicates that an activity or game was conducted in accordance with a specified set of rules or regulations.
  • E. governingBodyForRules
    Indicates that an entity serves as the official authority responsible for creating, maintaining, or enforcing a specified set of rules.
  • F. None of above.

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_69f349679fd8819093b9b40e989440e3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a0091ad8b8c8190b0f00a3358e59bc1 completed May 10, 2026, 2:09 p.m.
PD Predicate disambiguation batch_6a008f2813ec81909a54c2dfa5c75dc7 completed May 10, 2026, 1:59 p.m.
Created at: May 1, 2026, 1:33 a.m.