Triple

T19063624
Position Surface form Disambiguated ID Type / Status
Subject BCIE E466598 entity
Predicate acronym P43 FINISHED
Object BCIE 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: BCIE | Statement: [BCIE, acronym, BCIE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BCIE
Context triple: [BCIE, acronym, BCIE]
  • A. BCIE chosen
    BCIE is a regional multilateral development bank that finances economic integration and development projects across Central America.
  • B. BCIA
    BCIA is the abbreviation for Beijing Capital International Airport Company Limited, the operator of Beijing’s primary international airport.
  • C. BIE
    BIE is an acronym that can refer to various organizations or concepts depending on the context, such as educational bodies, international bureaus, or technical terms.
  • D. BIE
    BIE is a U.S. federal agency within the Department of the Interior responsible for providing and overseeing education services for Native American students in schools on or near reservations.
  • E. BIE
    BIE is the commonly used acronym for the Bureau International des Expositions, the intergovernmental organization that oversees and regulates World Expos.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e196deac8190ad0406c616197e0b completed April 20, 2026, 8:19 a.m.
Created at: April 10, 2026, 12:03 p.m.