Triple

T12638721
Position Surface form Disambiguated ID Type / Status
Subject Gombe Airport E301834 entity
Predicate IATAcode P418 FINISHED
Object GMO
GMO is the IATA airport code for Gombe Airport, a regional airport serving the city of Gombe in northeastern Nigeria.
 E994714 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: GMO | Statement: [Gombe Airport, IATAcode, GMO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GMO
Context triple: [Gombe Airport, IATAcode, GMO]
  • A. Genex
    Genex is an airline that uses Minsk National Airport as a primary base of operations for its flight network.
  • B. GMD
    GMD is a U.S. missile defense system designed to detect, track, and intercept long-range ballistic missiles during their midcourse phase in space.
  • C. KGM
    KGM is the Turkish General Directorate of Highways, the national authority responsible for planning, constructing, and maintaining Turkey’s road network.
  • D. BGI
    BGI is the station code for Brigadeiro, a São Paulo Metro station on Line 2 (Green) in Brazil.
  • E. InGen
    InGen is the fictional bioengineering corporation in the Jurassic Park franchise responsible for cloning dinosaurs and creating the dinosaur theme parks.
  • 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: GMO
Triple: [Gombe Airport, IATAcode, GMO]
Generated description
GMO is the IATA airport code for Gombe Airport, a regional airport serving the city of Gombe in northeastern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GMO
Target entity description: GMO is the IATA airport code for Gombe Airport, a regional airport serving the city of Gombe in northeastern Nigeria.
  • A. Genex
    Genex is an airline that uses Minsk National Airport as a primary base of operations for its flight network.
  • B. GMD
    GMD is a U.S. missile defense system designed to detect, track, and intercept long-range ballistic missiles during their midcourse phase in space.
  • C. KGM
    KGM is the Turkish General Directorate of Highways, the national authority responsible for planning, constructing, and maintaining Turkey’s road network.
  • D. BGI
    BGI is the station code for Brigadeiro, a São Paulo Metro station on Line 2 (Green) in Brazil.
  • E. InGen
    InGen is the fictional bioengineering corporation in the Jurassic Park franchise responsible for cloning dinosaurs and creating the dinosaur theme parks.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961499de08190bdba66ca40b021be completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f668754acc8190b5585dbd35387867 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f6697d8ac88190b4ead9ce47f3a705 completed May 2, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69f66a2da60881909b0a689821456bb4 completed May 2, 2026, 9:18 p.m.
Created at: April 9, 2026, 5:16 p.m.