Triple

T34108787
Position Surface form Disambiguated ID Type / Status
Subject 1995 World Championships in Athletics E874779 entity
Predicate officialLanguageOfEvent P15031 FINISHED
Object English LITERAL 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: English | Statement: [1995 World Championships in Athletics, officialLanguageOfEvent, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officialLanguageOfEvent
Context triple: [1995 World Championships in Athletics, officialLanguageOfEvent, English]
  • A. officialLanguage
    Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
  • B. hasOfficialLanguageAtVenue
    Indicates that a specific language is officially designated for use at a particular venue or location.
  • C. languageOfEvent chosen
    Indicates the language in which an event is conducted, presented, or communicated.
  • D. languageOfLocalOrganisingCommittee
    Indicates the language used by the local organising committee to conduct its activities, communication, and official documentation.
  • E. officialLanguageOfRules
    Indicates that a specified language is the formally designated language used for the rules or regulations of a given entity or system.
  • 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_69f349a80d4481908527317d43f5c579 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff9bed58dc8190a204816d4ed6c32c completed May 9, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69ff9b69653c81908ab0d88055a66a88 completed May 9, 2026, 8:39 p.m.
Created at: May 1, 2026, 1:53 a.m.