Triple

T17199
Position Surface form Disambiguated ID Type / Status
Subject United Nations E340 entity
Predicate hasGlobalScope P397 FINISHED
Object yes 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: yes | Statement: [United Nations, hasGlobalScope, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGlobalScope
Context triple: [United Nations, hasGlobalScope, yes]
  • A. hasScope chosen
    Indicates that one entity defines, limits, or encompasses the range, extent, or applicability within which another entity operates or is valid.
  • B. hasRole
    Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
  • C. hasOfficialStateTree
    Indicates that a political entity has a designated tree recognized as its official state symbol.
  • D. hasAncestor
    Indicates that one entity is an ancestor (direct or indirect, such as a parent, grandparent, etc.) of another entity in a genealogical or hierarchical lineage.
  • E. hasPrimaryFunction
    Indicates that one entity serves as the main or principal function or role of another 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a242494a548190a5776fb6cad4d4af completed Feb. 28, 2026, 1:18 a.m.
PD Predicate disambiguation batch_69a23fedf0fc8190ad99bd1da297b14d completed Feb. 28, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.