Triple

T4345773
Position Surface form Disambiguated ID Type / Status
Subject Program for Cooperative Cataloging E97895 entity
Predicate sponsors P1807 FINISHED
Object BIBCO E434221 NE 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: BIBCO | Statement: [Program for Cooperative Cataloging, sponsors, BIBCO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BIBCO
Context triple: [Program for Cooperative Cataloging, sponsors, BIBCO]
  • A. BIBCO chosen
    BIBCO is a cooperative cataloging program through which participating libraries create and share high-quality bibliographic records to support standardized access to library collections.
  • B. Blodgett
    Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
  • C. Brinker
    Brinker is the surname of Nancy Goodman Brinker, the American businesswoman and philanthropist who founded the Susan G. Komen breast cancer organization.
  • D. Baker’s
    Baker’s is a regional American supermarket chain known for offering a full range of groceries and household goods.
  • E. BIFA
    BIFA is the organization that runs the British Independent Film Awards, celebrating excellence in independent filmmaking in the United Kingdom.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3518bec408190ba07643bbf7eb632 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4fa3c388190a5e3ceb733e278f8 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:15 p.m.