Triple

T22278717
Position Surface form Disambiguated ID Type / Status
Subject Garoua International Airport E550675 entity
Predicate IATA code P2569 FINISHED
Object GOU
GOU is the IATA airport code for Garoua International Airport, a commercial airport serving the city of Garoua in northern Cameroon.
 E1529031 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: GOU | Statement: [Garoua International Airport, IATA code, GOU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GOU
Context triple: [Garoua International Airport, IATA code, GOU]
  • A. GOU
    GOU is the Russian abbreviation for the Main Operations Directorate, the key operational command and planning body of the Russian General Staff.
  • B. Gou
    Gou is a Chinese surname most prominently associated with Terry Gou, the Taiwanese billionaire founder of Foxconn.
  • C. GOO
    GOO is the National Rail station code for Goole railway station in the East Riding of Yorkshire, England.
  • D. GOS
    GOS is the abbreviation for the Grand Orient of Spain, a major Masonic obedience historically active in Spanish Freemasonry.
  • E. GOS
    GOS is the acronym for the Global Observing System, an international network of instruments and facilities that continuously monitor the Earth's atmosphere, oceans, and land for weather and climate services.
  • 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: GOU
Triple: [Garoua International Airport, IATA code, GOU]
Generated description
GOU is the IATA airport code for Garoua International Airport, a commercial airport serving the city of Garoua in northern Cameroon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GOU
Target entity description: GOU is the IATA airport code for Garoua International Airport, a commercial airport serving the city of Garoua in northern Cameroon.
  • A. GOU
    GOU is the Russian abbreviation for the Main Operations Directorate, the key operational command and planning body of the Russian General Staff.
  • B. Gou
    Gou is a Chinese surname most prominently associated with Terry Gou, the Taiwanese billionaire founder of Foxconn.
  • C. GOO
    GOO is the National Rail station code for Goole railway station in the East Riding of Yorkshire, England.
  • D. GOS
    GOS is the abbreviation for the Grand Orient of Spain, a major Masonic obedience historically active in Spanish Freemasonry.
  • E. GOS
    GOS is the acronym for the Global Observing System, an international network of instruments and facilities that continuously monitor the Earth's atmosphere, oceans, and land for weather and climate services.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea96948819081c1ae6c7b11ab62 completed April 29, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0abca612008190bcb1c38523223ed7 completed May 18, 2026, 7:15 a.m.
NEDg Description generation batch_6a0ac0d258d88190a73427e02373a4bc completed May 18, 2026, 7:33 a.m.
NED2 Entity disambiguation (via description) batch_6a0ac1e9666c8190b183c069deaf487c completed May 18, 2026, 7:38 a.m.
Created at: April 16, 2026, 8:40 p.m.