Triple

T15765435
Position Surface form Disambiguated ID Type / Status
Subject Nagoya Airfield E382207 entity
Predicate IATACode P418 FINISHED
Object NKM
NKM is the IATA airport code for Nagoya Airfield, a regional airport serving the Nagoya area in Japan.
 E1175514 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: NKM | Statement: [Nagoya Airfield, IATACode, NKM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NKM
Context triple: [Nagoya Airfield, IATACode, NKM]
  • A. NMK
    NMK is the National Rail station code for Newmarket railway station in Suffolk, England.
  • B. KNZM
    KNZM is the post-nominal title used by individuals appointed as Knights Companion of the New Zealand Order of Merit, one of New Zealand’s principal honours.
  • C. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • D. NKo
    NKo is a Unicode block that encodes the characters of the N’Ko script used for writing several West African Mande languages.
  • E. KNM
    KNM is the abbreviated name commonly used for the Royal Dutch Mint, the official institution responsible for producing Dutch coins and medals.
  • 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: NKM
Triple: [Nagoya Airfield, IATACode, NKM]
Generated description
NKM is the IATA airport code for Nagoya Airfield, a regional airport serving the Nagoya area in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NKM
Target entity description: NKM is the IATA airport code for Nagoya Airfield, a regional airport serving the Nagoya area in Japan.
  • A. NMK
    NMK is the National Rail station code for Newmarket railway station in Suffolk, England.
  • B. KNZM
    KNZM is the post-nominal title used by individuals appointed as Knights Companion of the New Zealand Order of Merit, one of New Zealand’s principal honours.
  • C. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • D. NKo
    NKo is a Unicode block that encodes the characters of the N’Ko script used for writing several West African Mande languages.
  • E. KNM
    KNM is the abbreviated name commonly used for the Royal Dutch Mint, the official institution responsible for producing Dutch coins and medals.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b8154881908afe5191e6424f15 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87789914819097b56482cb8984c7 completed May 9, 2026, 7:14 p.m.
NEDg Description generation batch_69ff887dc9cc81908833f9881647d82f completed May 9, 2026, 7:18 p.m.
NED2 Entity disambiguation (via description) batch_69ff8970b85081909c8eb114851841f1 completed May 9, 2026, 7:22 p.m.
Created at: April 10, 2026, 4:47 a.m.