Triple

T16953974
Position Surface form Disambiguated ID Type / Status
Subject Board of Trustees of the Modern Art Museum of Fort Worth E411248 entity
Predicate operatesInLegalForm P96805 FINISHED
Object nonprofit organization context 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: nonprofit organization context | Statement: [Board of Trustees of the Modern Art Museum of Fort Worth, operatesInLegalForm, nonprofit organization context]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatesInLegalForm
Context triple: [Board of Trustees of the Modern Art Museum of Fort Worth, operatesInLegalForm, nonprofit organization context]
  • A. countryLegalForm
    Indicates the legal or organizational form that an entity has under the laws of a specific country.
  • B. typicalLegalForm
    Indicates the standard or commonly used legal organizational form associated with an entity.
  • C. hasLegalStructure chosen
    Indicates that an entity possesses a specific formal legal organization or classification under law.
  • D. belongsToCompanyLegalForm
    Indicates that an entity is associated with or classified under a specific legal form of a company.
  • E. hasUnderlyingCompanyLegalForm
    Indicates that an entity is associated with, or governed by, a specific underlying legal form of a company.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01b04e88190a72735541b3bb117 completed April 18, 2026, 6:40 p.m.
PD Predicate disambiguation batch_69e32b9aa8748190b248890aca86753d completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:31 a.m.