Triple

T20222260
Position Surface form Disambiguated ID Type / Status
Subject Bolivian Air Force E495285 entity
Predicate abbreviation P43 FINISHED
Object FAB
FAB is the acronym commonly used to refer to the Bolivian Air Force, the aerial warfare branch of Bolivia’s armed forces.
E1419341 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: FAB | Statement: [Bolivian Air Force, abbreviation, FAB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FAB
Context triple: [Bolivian Air Force, abbreviation, FAB]
  • A. FAB
    FAB is the acronym for the Brazilian Air Force, the aerial warfare branch of Brazil’s armed forces.
  • B. FAB
    FAB is the IATA airport code for Farnborough Airport, a business aviation airport in Hampshire, England.
  • C. FABL
    FABL is the ICAO airport code for Bram Fischer International Airport in Bloemfontein, South Africa.
  • D. F.B.A.
    F.B.A. is an abbreviated form of the term "FBA," commonly used to denote "Fulfillment by Amazon" in e-commerce contexts.
  • E. FAK
    FAK is the official abbreviation for the Royal Danish Defence College, Denmark’s primary institution for military education and research.
  • 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: FAB
Triple: [Bolivian Air Force, abbreviation, FAB]
Generated description
FAB is the acronym commonly used to refer to the Bolivian Air Force, the aerial warfare branch of Bolivia’s armed forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FAB
Target entity description: FAB is the acronym commonly used to refer to the Bolivian Air Force, the aerial warfare branch of Bolivia’s armed forces.
  • A. FAB
    FAB is the acronym for the Brazilian Air Force, the aerial warfare branch of Brazil’s armed forces.
  • B. FAB
    FAB is the IATA airport code for Farnborough Airport, a business aviation airport in Hampshire, England.
  • C. FABL
    FABL is the ICAO airport code for Bram Fischer International Airport in Bloemfontein, South Africa.
  • D. F.B.A.
    F.B.A. is an abbreviated form of the term "FBA," commonly used to denote "Fulfillment by Amazon" in e-commerce contexts.
  • E. FAK
    FAK is the official abbreviation for the Royal Danish Defence College, Denmark’s primary institution for military education and research.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fd729548190942bcf842f03c4cd completed April 20, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a084b866fc4819086521bb69505b674 completed May 16, 2026, 10:48 a.m.
NEDg Description generation batch_6a084c6561ec8190b1eee3d94aeb5009 completed May 16, 2026, 10:52 a.m.
NED2 Entity disambiguation (via description) batch_6a084d0ac2f881909be142d6b30cc9ec completed May 16, 2026, 10:55 a.m.
Created at: April 11, 2026, 11:39 p.m.