Triple

T1255495
Position Surface form Disambiguated ID Type / Status
Subject TIFF E26978 entity
Predicate typeOfNonProfit P13548 FINISHED
Object charitable organization 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: charitable organization | Statement: [TIFF, typeOfNonProfit, charitable organization]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfNonProfit
Context triple: [TIFF, typeOfNonProfit, charitable organization]
  • A. nonprofitType chosen
    Indicates the specific category or classification of a nonprofit organization based on its legal or functional type.
  • B. nonprofitStatus
    Indicates that an entity operates as a nonprofit organization, typically meeting legal or regulatory criteria for nonprofit status.
  • C. isNonProfitProjectOf
    Indicates that a project operates on a non-profit basis and is initiated, owned, or managed by the referenced entity.
  • D. organizationType
    Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
  • E. grantmakingType
    Indicates the specific category or method by which grants are awarded or administered in a grantmaking relationship.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bfa726548190911b4022dc1be3c3 completed March 1, 2026, 10:37 p.m.
PD Predicate disambiguation batch_69a4bb6c977c8190a2bf3e8b67a59beb completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:47 p.m.