Triple

T11474243
Position Surface form Disambiguated ID Type / Status
Subject BIE E271984 entity
Predicate acronym P43 FINISHED
Object 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.
E927466 NE FINISHED

How this triple was built (4 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: BIE | Statement: [BIE, acronym, BIE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BIE
Context triple: [BIE, acronym, BIE]
  • A. 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.
  • B. BIE
    BIE is the commonly used acronym for the Bureau International des Expositions, the intergovernmental organization that oversees and regulates World Expos.
  • C. BEI
    BEI is the Indonesian acronym for the Indonesia Stock Exchange, the primary securities trading venue in Indonesia.
  • D. BIFA
    BIFA is the organization that runs the British Independent Film Awards, celebrating excellence in independent filmmaking in the United Kingdom.
  • E. BIF
    BIF is the National Rail station code for Barrow-in-Furness railway station in Cumbria, England.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BIE
Triple: [BIE, acronym, BIE]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BIE
Target entity description: 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.
  • A. 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.
  • B. BIE
    BIE is the commonly used acronym for the Bureau International des Expositions, the intergovernmental organization that oversees and regulates World Expos.
  • C. BEI
    BEI is the Indonesian acronym for the Indonesia Stock Exchange, the primary securities trading venue in Indonesia.
  • D. BIFA
    BIFA is the organization that runs the British Independent Film Awards, celebrating excellence in independent filmmaking in the United Kingdom.
  • E. BIF
    BIF is the National Rail station code for Barrow-in-Furness railway station in Cumbria, England.
  • F. None of above. chosen

Provenance (5 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294c8dc48190a515f83c99405a3b completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e95a479c81909a330c9721bd3902 completed April 20, 2026, 8:52 a.m.
NEDg Description generation batch_69e5f15a50b881908d0930021833ae74 completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f88f16748190826a7fc5d27019d7 completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:36 p.m.