Triple

T12099031
Position Surface form Disambiguated ID Type / Status
Subject Federal Airports Authority of Nigeria E288143 entity
Predicate shortName P43 FINISHED
Object FAAN
FAAN is the government agency responsible for managing and operating commercial airports and related aviation services across Nigeria.
 E963344 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: FAAN | Statement: [Federal Airports Authority of Nigeria, shortName, FAAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FAAN
Context triple: [Federal Airports Authority of Nigeria, shortName, FAAN]
  • A. FAN
    FAN is the French acronym for Niger's national military, responsible for the country's defense and security operations.
  • B. FAN
    FAN was a key rebel armed group in Chad that played a major role in the country’s internal conflicts during the late 20th century.
  • C. FANA
    FANA is the acronym for the Angolan Air Force, the aerial warfare branch of Angola’s armed forces.
  • D. FANK
    FANK was the acronym for the Khmer National Armed Forces, the military of the pro-U.S. Lon Nol government in Cambodia during the Cambodian Civil War.
  • E. FAE
    FAE is the IATA airport code for Vágar Airport, the main international gateway to the Faroe Islands.
  • 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: FAAN
Triple: [Federal Airports Authority of Nigeria, shortName, FAAN]
Generated description
FAAN is the government agency responsible for managing and operating commercial airports and related aviation services across Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FAAN
Target entity description: FAAN is the government agency responsible for managing and operating commercial airports and related aviation services across Nigeria.
  • A. FAN
    FAN is the French acronym for Niger's national military, responsible for the country's defense and security operations.
  • B. FAN
    FAN was a key rebel armed group in Chad that played a major role in the country’s internal conflicts during the late 20th century.
  • C. FANA
    FANA is the acronym for the Angolan Air Force, the aerial warfare branch of Angola’s armed forces.
  • D. FANK
    FANK was the acronym for the Khmer National Armed Forces, the military of the pro-U.S. Lon Nol government in Cambodia during the Cambodian Civil War.
  • E. FAE
    FAE is the acronym for the Ecuadorian Air Force, the aerial warfare branch of Ecuador’s military responsible for defending the nation’s airspace.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9155465388190bbe52453c9b11912 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6724de481909fe29e3278136ea2 completed May 2, 2026, 1:04 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, 9:48 p.m.