Triple

T14434408
Position Surface form Disambiguated ID Type / Status
Subject Cadjehoun Airport E357920 entity
Predicate IATAcode P418 FINISHED
Object COO
COO is the three-letter IATA airport code for Cadjehoun Airport, the main international airport serving Cotonou, Benin.
E1098404 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: COO | Statement: [Cadjehoun Airport, IATAcode, COO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COO
Context triple: [Cadjehoun Airport, IATAcode, COO]
  • A. COO
    COO is the executive role responsible for overseeing a company's day-to-day operations and implementing its business strategies.
  • B. COOB
    COOB is the namesake associated with Cobi, the official mascot of the 1992 Barcelona Olympic Games.
  • C. Coo
    Coo is a small village in the Belgian Ardennes known for its waterfall and nearby amusement attractions.
  • D. COA
    COA is the ICAO airline designator formerly used by Continental Airlines, a major U.S. carrier that merged with United Airlines.
  • E. COA
    COA is the acronym for the Commission on Audit, the independent constitutional body in the Philippines responsible for auditing government funds and properties.
  • 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: COO
Triple: [Cadjehoun Airport, IATAcode, COO]
Generated description
COO is the three-letter IATA airport code for Cadjehoun Airport, the main international airport serving Cotonou, Benin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: COO
Target entity description: COO is the three-letter IATA airport code for Cadjehoun Airport, the main international airport serving Cotonou, Benin.
  • A. COO
    COO is the executive role responsible for overseeing a company's day-to-day operations and implementing its business strategies.
  • B. COOB
    COOB is the namesake associated with Cobi, the official mascot of the 1992 Barcelona Olympic Games.
  • C. Coo
    Coo is a small village in the Belgian Ardennes known for its waterfall and nearby amusement attractions.
  • D. COA
    COA is the ICAO airline designator formerly used by Continental Airlines, a major U.S. carrier that merged with United Airlines.
  • E. COA
    COA is the acronym for the Commission on Audit, the independent constitutional body in the Philippines responsible for auditing government funds and properties.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91471a648190adb7b283a6a85c3e completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd5b1d08190a89e6f004a94b361 completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5ca8e36c8190873d0e2a82f62623 completed May 8, 2026, 3:46 a.m.
NED2 Entity disambiguation (via description) batch_69fd5d46d974819085a43c51b414ff9a completed May 8, 2026, 3:49 a.m.
Created at: April 10, 2026, 1:18 a.m.