Triple

T2669655
Position Surface form Disambiguated ID Type / Status
Subject Murtala Muhammed International Airport E55718 entity
Predicate ICAOcode P419 FINISHED
Object DNMM
DNMM is the ICAO airport code for Murtala Muhammed International Airport, the main international gateway serving Lagos, Nigeria.
 E288142 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: DNMM | Statement: [Murtala Muhammed International Airport, ICAOcode, DNMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DNMM
Context triple: [Murtala Muhammed International Airport, ICAOcode, DNMM]
  • A. NNMC
    NNMC is the commonly used abbreviation for the National Naval Medical Center, the former U.S. Navy flagship hospital in Bethesda, Maryland.
  • B. NMB
    NMB is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • C. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • D. NDMC
    NDMC is the civic administrative body responsible for municipal services and infrastructure in New Delhi’s central and VIP areas.
  • E. NAM
    NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
  • 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: DNMM
Triple: [Murtala Muhammed International Airport, ICAOcode, DNMM]
Generated description
DNMM is the ICAO airport code for Murtala Muhammed International Airport, the main international gateway serving Lagos, Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DNMM
Target entity description: DNMM is the ICAO airport code for Murtala Muhammed International Airport, the main international gateway serving Lagos, Nigeria.
  • A. NNMC
    NNMC is the commonly used abbreviation for the National Naval Medical Center, the former U.S. Navy flagship hospital in Bethesda, Maryland.
  • B. NMB
    NMB is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • C. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • D. NDMC
    NDMC is the civic administrative body responsible for municipal services and infrastructure in New Delhi’s central and VIP areas.
  • E. NAM
    NAM is the commonly used abbreviation for the Non-Aligned Movement, an international grouping of states that sought to remain independent from major power blocs during the Cold War and beyond.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd98d32ac8190b8edd9421b706532 completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa05d028c8190860587da07ea7e9b completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa0fef4c481908db42628cd6e72fe completed March 10, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69afa1fc3884819094503650206ec788 completed March 10, 2026, 4:45 a.m.
Created at: March 6, 2026, 9:54 p.m.