Triple

T12989356
Position Surface form Disambiguated ID Type / Status
Subject Maiduguri International Airport E321861 entity
Predicate ICAOcode P419 FINISHED
Object DNMA
DNMA is the ICAO airport code for Maiduguri International Airport in Maiduguri, Nigeria.
E1013657 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: DNMA | Statement: [Maiduguri International Airport, ICAOcode, DNMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DNMA
Context triple: [Maiduguri International Airport, ICAOcode, DNMA]
  • A. DNK
    DNK is the IATA airport code for Dnipro International Airport, a commercial airport serving the city of Dnipro in Ukraine.
  • B. D.N.M.
    D.N.M. is the standard legal abbreviation for the United States District Court for the District of New Mexico, a federal trial court within the Tenth Circuit.
  • C. DNMM
    DNMM is the ICAO airport code for Murtala Muhammed International Airport, the main international gateway serving Lagos, Nigeria.
  • D. DNIM
    DNIM is the ICAO airport code assigned to Sam Mbakwe International Cargo Airport in Imo State, Nigeria.
  • E. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • 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: DNMA
Triple: [Maiduguri International Airport, ICAOcode, DNMA]
Generated description
DNMA is the ICAO airport code for Maiduguri International Airport in Maiduguri, Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DNMA
Target entity description: DNMA is the ICAO airport code for Maiduguri International Airport in Maiduguri, Nigeria.
  • A. DNK
    DNK is the IATA airport code for Dnipro International Airport, a commercial airport serving the city of Dnipro in Ukraine.
  • B. D.N.M.
    D.N.M. is the standard legal abbreviation for the United States District Court for the District of New Mexico, a federal trial court within the Tenth Circuit.
  • C. DNMM
    DNMM is the ICAO airport code for Murtala Muhammed International Airport, the main international gateway serving Lagos, Nigeria.
  • D. DNIM
    DNIM is the ICAO airport code assigned to Sam Mbakwe International Cargo Airport in Imo State, Nigeria.
  • E. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e75b9f88190a54372c2a1223a4e completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f942588190b69a3067d5145182 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9dcd5cc8190bff5bd153c007866 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb03d8d88190930edd0f49fec8aa completed May 3, 2026, 3:03 a.m.
Created at: April 9, 2026, 8:43 p.m.