Triple

T12154302
Position Surface form Disambiguated ID Type / Status
Subject Budget Office of the Federation E289535 entity
Predicate shortName P43 FINISHED
Object BOF
BOF is the abbreviated name commonly used for the Budget Office of the Federation, Nigeria’s federal government agency responsible for budget preparation and fiscal policy analysis.
E963438 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: BOF | Statement: [Budget Office of the Federation, shortName, BOF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BOF
Context triple: [Budget Office of the Federation, shortName, BOF]
  • A. BOFMCAM2
    BOFMCAM2 is the SWIFT/BIC code used to identify the Bank of Montreal in international financial transactions.
  • B. BOG
    BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
  • C. BOG
    BOG is the vehicle registration code used for motor vehicles registered in the Capital District of Bogotá, Colombia.
  • D. BOG
    BOG is the commonly used acronym for the Florida Board of Governors, the governing body overseeing the State University System of Florida.
  • E. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • 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: BOF
Triple: [Budget Office of the Federation, shortName, BOF]
Generated description
BOF is the abbreviated name commonly used for the Budget Office of the Federation, Nigeria’s federal government agency responsible for budget preparation and fiscal policy analysis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BOF
Target entity description: BOF is the abbreviated name commonly used for the Budget Office of the Federation, Nigeria’s federal government agency responsible for budget preparation and fiscal policy analysis.
  • A. BOFMCAM2
    BOFMCAM2 is the SWIFT/BIC code used to identify the Bank of Montreal in international financial transactions.
  • B. BOG
    BOG is the vehicle registration code used for motor vehicles registered in the Capital District of Bogotá, Colombia.
  • C. BOG
    BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
  • D. BOG
    BOG is the commonly used acronym for the Florida Board of Governors, the governing body overseeing the State University System of Florida.
  • E. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915bf615c8190ad5f8ae8665678dc completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69c8d408190abbc900deb534045 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fe53d47c8190896a9abf8cc4bc31 completed May 2, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc2cfd08190b87eccd3a73afc77 completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:50 p.m.