Triple

T12371593
Position Surface form Disambiguated ID Type / Status
Subject Yakubu Gowon Airport E295014 entity
Predicate ICAOCode P419 FINISHED
Object DNJO
DNJO is the ICAO airport code assigned to Yakubu Gowon Airport in Nigeria.
 E978139 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: DNJO | Statement: [Yakubu Gowon Airport, ICAOCode, DNJO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DNJO
Context triple: [Yakubu Gowon Airport, ICAOCode, DNJO]
  • A. DJU
    DJU is the ticker symbol used by financial data vendors to represent the Dow Jones Utility Average, a stock market index tracking major U.S. utility companies.
  • B. DNQ
    DNQ is the IATA airport code for Deniliquin Airport, a regional airport serving the town of Deniliquin in New South Wales, Australia.
  • C. DNPO
    DNPO is the ICAO airport code for Port Harcourt International Airport in Nigeria.
  • D. Judba
    Judba is a small town in Pakistan’s Khyber Pakhtunkhwa province that serves as the administrative and political center of Torghar District.
  • E. DØ
    DØ was a major particle physics experiment at the Tevatron collider that investigated high-energy proton–antiproton collisions to study fundamental particles and forces, including detailed measurements of the top quark and searches for new physics.
  • 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: DNJO
Triple: [Yakubu Gowon Airport, ICAOCode, DNJO]
Generated description
DNJO is the ICAO airport code assigned to Yakubu Gowon Airport in Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DNJO
Target entity description: DNJO is the ICAO airport code assigned to Yakubu Gowon Airport in Nigeria.
  • A. DJU
    DJU is the ticker symbol used by financial data vendors to represent the Dow Jones Utility Average, a stock market index tracking major U.S. utility companies.
  • B. DNQ
    DNQ is the IATA airport code for Deniliquin Airport, a regional airport serving the town of Deniliquin in New South Wales, Australia.
  • C. DNPO
    DNPO is the ICAO airport code for Port Harcourt International Airport in Nigeria.
  • D. Judba
    Judba is a small town in Pakistan’s Khyber Pakhtunkhwa province that serves as the administrative and political center of Torghar District.
  • E. DØ
    DØ was a major particle physics experiment at the Tevatron collider that investigated high-energy proton–antiproton collisions to study fundamental particles and forces, including detailed measurements of the top quark and searches for new physics.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa7c9ec81908c685612994543e3 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abfd9c081909803691d3fc4f149 completed May 2, 2026, 4:48 p.m.
NEDg Description generation batch_69f62be4de888190aac94d441748d295 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f62d4d0b8881908aa6b67db7d14609 completed May 2, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:54 p.m.