Triple

T28409152
Position Surface form Disambiguated ID Type / Status
Subject 2005 World Summit E719617 entity
Predicate languageOfOutcomeDocument P41039 FINISHED
Object all 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: all six official UN languages | Statement: [2005 World Summit, languageOfOutcomeDocument, all six official UN languages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfOutcomeDocument
Context triple: [2005 World Summit, languageOfOutcomeDocument, all six official UN languages]
  • A. languageOutcome
    Indicates the resulting language or linguistic state that emerges from a given process, action, or interaction.
  • B. languageOfAttestation chosen
    Indicates the language in which a statement, document, or evidence is originally recorded or attested.
  • C. languageOfUnderlyingWork
    Indicates the language in which the original or underlying work (from which a derived or related work stems) is expressed.
  • D. governingLanguage
    Indicates the language that holds official or authoritative status over a given entity, such as a region, organization, or document.
  • E. languageOfCommunications
    Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
  • 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_69eff6f0f37c8190b37bc6fab08a9449 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69fdd2be648c8190b60b3d1caeb44364 completed May 8, 2026, 12:10 p.m.
PD Predicate disambiguation batch_69fdd14a5c708190a6f95ec61f4fc28f completed May 8, 2026, 12:04 p.m.
Created at: April 28, 2026, 1:25 a.m.