Triple

T1646651
Position Surface form Disambiguated ID Type / Status
Subject Brescia Calcio E35596 entity
Predicate hasAbbreviation P43 FINISHED
Object BSFC
BSFC is the commonly used abbreviation for Brescia Calcio, a professional Italian football club based in Brescia, Lombardy.
 E185624 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: BSFC | Statement: [Brescia Calcio, hasAbbreviation, BSFC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BSFC
Context triple: [Brescia Calcio, hasAbbreviation, BSFC]
  • A. CFM
    CFM is the abbreviation commonly used for the Council of Foreign Ministers, a diplomatic body composed of the foreign ministers of member states.
  • B. BF
    BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
  • C. ECU
    ECU is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Ecuador in international standards and data systems.
  • D. BSC
    BSC is an acronym commonly referring to British Security Coordination, a covert World War II intelligence organization established by the United Kingdom in North America.
  • E. AFR
    AFR is the ICAO airline designator used to identify Air France flights in international aviation operations.
  • 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: BSFC
Triple: [Brescia Calcio, hasAbbreviation, BSFC]
Generated description
BSFC is the commonly used abbreviation for Brescia Calcio, a professional Italian football club based in Brescia, Lombardy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BSFC
Target entity description: BSFC is the commonly used abbreviation for Brescia Calcio, a professional Italian football club based in Brescia, Lombardy.
  • A. CFM
    CFM is the abbreviation commonly used for the Council of Foreign Ministers, a diplomatic body composed of the foreign ministers of member states.
  • B. BF
    BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
  • C. ECU
    ECU is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Ecuador in international standards and data systems.
  • D. BSC
    BSC is an acronym commonly referring to British Security Coordination, a covert World War II intelligence organization established by the United Kingdom in North America.
  • E. AFR
    AFR is the ICAO airline designator used to identify Air France flights in international aviation operations.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a62b26c8190bf97bb80c228b47e completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60a4bd5481908b46f44364c15592 completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad617fea508190ae6fa86cf9ea814a completed March 8, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69ad62028a448190a0c3f0dadae6a741 completed March 8, 2026, 11:48 a.m.
Created at: March 4, 2026, 7:28 p.m.