Triple

T5779606
Position Surface form Disambiguated ID Type / Status
Subject ICC Cricketer of the Year E127523 entity
Predicate officialLanguageOfBody P236 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: [ICC Cricketer of the Year, officialLanguageOfBody, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officialLanguageOfBody
Context triple: [ICC Cricketer of the Year, officialLanguageOfBody, English]
  • A. officialLanguage chosen
    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. officialLanguageOfRules
    Indicates that a specified language is the formally designated language used for the rules or regulations of a given entity or system.
  • C. shareOfficialLanguage
    Indicates that two entities have at least one official language in common.
  • D. previousOfficialLanguage
    Indicates that one language formerly held official status in a country, region, or organization before being replaced or losing that status.
  • E. officialLanguageOfTitle
    Indicates that a specified language is the officially designated language associated with a particular title or position.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02acb12c081908e4beee4a957f9f9 completed March 22, 2026, 5:45 p.m.
PD Predicate disambiguation batch_69c021d0c6088190ba670ddcdbf5ca3e completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:50 p.m.