Triple

T445120
Position Surface form Disambiguated ID Type / Status
Subject United Nations documentation E10199 entity
Predicate hasLanguagePolicy P187 FINISHED
Object six official UN languages 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: six official UN languages | Statement: [United Nations documentation, hasLanguagePolicy, six official UN languages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLanguagePolicy
Context triple: [United Nations documentation, hasLanguagePolicy, six official UN languages]
  • A. hasOfficialLanguagePolicy chosen
    Indicates that there exists a formally adopted rule or set of rules governing the use, status, or regulation of one or more languages within a given context or jurisdiction.
  • B. hasLanguageOn
    Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
  • C. hasSignificantLanguage
    Indicates that an entity possesses a language that plays an important or primary role in its communication, identity, or functioning.
  • D. hasVisitorPolicy
    Indicates that an entity has an established policy governing the presence, behavior, or permissions of visitors.
  • E. hasMemberLanguage
    Indicates that one entity is a language that is a constituent or member of a larger language group, family, or collection represented by the other entity.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef479ec08190a659eead6eb0d4d0 completed Feb. 28, 2026, 1:36 p.m.
PD Predicate disambiguation batch_69a2eddfb5508190a4e06e1b260d8b2b completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.