Triple

T2574297
Position Surface form Disambiguated ID Type / Status
Subject American Alliance of Museums E57738 entity
Predicate accreditationProgramScope P7962 FINISHED
Object museums in the United States 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: museums in the United States | Statement: [American Alliance of Museums, accreditationProgramScope, museums in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accreditationProgramScope
Context triple: [American Alliance of Museums, accreditationProgramScope, museums in the United States]
  • A. scopeOfAccreditation chosen
    Indicates the specific range, domains, or activities for which an entity’s accreditation or formal recognition is valid and applicable.
  • B. certificationScope
    Indicates the specific range, domain, or subject matter that a given certification covers or applies to.
  • C. accreditation
    Indicates that an authoritative body has formally recognized an entity as meeting specified standards or requirements.
  • D. accreditedTo
    Indicates that official recognition, authorization, or credit for something is granted by or associated with a particular entity.
  • E. accreditingBody
    Indicates that an entity serves as the official organization that grants accreditation or formal recognition to 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd38792288190a39420cab126bf03 completed March 7, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69abd0ce4dcc8190b17a65abf9bd1bb0 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:48 p.m.