Triple

T9933112
Position Surface form Disambiguated ID Type / Status
Subject Business Constituency E192691 entity
Predicate usesAcronym P43 FINISHED
Object BC
BC is the Business Constituency, a group within the ICANN community that represents the interests of commercial Internet users in domain name policy development.
 E831136 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: BC | Statement: [Business Constituency, usesAcronym, BC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BC
Context triple: [Business Constituency, usesAcronym, BC]
  • A. BC
    BC is a private Jesuit research university located in Chestnut Hill, Massachusetts, known for its strong liberal arts programs and competitive NCAA Division I athletics.
  • B. BC
    BC is the IATA airline designator assigned to Skymark Airlines, a Japanese low-cost carrier.
  • C. BC
    BC is the Canadian province of British Columbia, located on the west coast of Canada with Vancouver as its largest city.
  • D. BC
    BC is the commonly used abbreviation for Brooklyn College, a senior college of the City University of New York located in Brooklyn.
  • E. B
    B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
  • 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: BC
Triple: [Business Constituency, usesAcronym, BC]
Generated description
BC is the Business Constituency, a group within the ICANN community that represents the interests of commercial Internet users in domain name policy development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BC
Target entity description: BC is the Business Constituency, a group within the ICANN community that represents the interests of commercial Internet users in domain name policy development.
  • A. BC
    BC is a private Jesuit research university located in Chestnut Hill, Massachusetts, known for its strong liberal arts programs and competitive NCAA Division I athletics.
  • B. BC
    BC is the Canadian province of British Columbia, located on the west coast of Canada with Vancouver as its largest city.
  • C. BC
    BC is the commonly used abbreviation for Brooklyn College, a senior college of the City University of New York located in Brooklyn.
  • D. BC
    BC is the IATA airline designator assigned to Skymark Airlines, a Japanese low-cost carrier.
  • E. B
    B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b7897081909b28189aa57af250 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228d1620c8190ac7125b268dd6832 completed April 5, 2026, 9:18 a.m.
NEDg Description generation batch_69d22c3a6fc0819083a376736325a04e completed April 5, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_69d22cabf39881908f45667751384df5 completed April 5, 2026, 9:34 a.m.
Created at: March 30, 2026, 8:44 p.m.