Triple

T26580870
Position Surface form Disambiguated ID Type / Status
Subject 2001 American Buffalo silver dollar E667072 entity
Predicate surchargeBeneficiary P30617 FINISHED
Object National Museum of the American Indian NE NERFINISHED

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: National Museum of the American Indian | Statement: [2001 American Buffalo silver dollar, surchargeBeneficiary, National Museum of the American Indian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: surchargeBeneficiary
Context triple: [2001 American Buffalo silver dollar, surchargeBeneficiary, National Museum of the American Indian]
  • A. canHaveBeneficiary
    Indicates that an entity is capable of having another party designated as its beneficiary, who may receive benefits, rights, or proceeds associated with it.
  • B. beneficiaryInstitution chosen
    Indicates that an institution is the recipient or beneficiary of an action, service, or resource.
  • C. beneficiaryContribution
    Indicates that one party provides a contribution, support, or resources that benefit another designated beneficiary.
  • D. beneficiaryMayHave
    Indicates that a beneficiary is allowed or permitted to possess, receive, or be associated with something.
  • E. beneficiaryActionMethod
    Indicates that an action benefiting a recipient is carried out using a particular method or means.
  • 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_69ee9cfb7e548190b60a9031182f5a7e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f614e0f3688190a10114486c5d62ab completed May 2, 2026, 3:14 p.m.
PD Predicate disambiguation batch_69f60b8bb0d08190ab5a9a2a8847c6f4 completed May 2, 2026, 2:34 p.m.
Created at: April 27, 2026, 2:03 a.m.