Triple

T6569266
Position Surface form Disambiguated ID Type / Status
Subject Niigata Airport E155391 entity
Predicate IATAcode P418 FINISHED
Object KIJ
KIJ is the three-letter IATA airport code for Niigata Airport in Niigata, Japan.
E602152 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: KIJ | Statement: [Niigata Airport, IATAcode, KIJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KIJ
Context triple: [Niigata Airport, IATAcode, KIJ]
  • A. KI
    KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
  • B. KI
    KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
  • C. KI
    KI is the vehicle registration code used on license plates for the German city of Kiel.
  • D. Kije
    Kije is a village in south-central Poland that serves as the seat of the rural administrative district Gmina Kije in Świętokrzyskie Voivodeship.
  • E. JK
    JK is the widely used nickname of Juscelino Kubitschek, the former president of Brazil best known for founding Brasília and promoting rapid national development.
  • 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: KIJ
Triple: [Niigata Airport, IATAcode, KIJ]
Generated description
KIJ is the three-letter IATA airport code for Niigata Airport in Niigata, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KIJ
Target entity description: KIJ is the three-letter IATA airport code for Niigata Airport in Niigata, Japan.
  • A. KI
    KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
  • B. KI
    KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
  • C. KI
    KI is the vehicle registration code used on license plates for the German city of Kiel.
  • D. Kije
    Kije is a village in south-central Poland that serves as the seat of the rural administrative district Gmina Kije in Świętokrzyskie Voivodeship.
  • E. JK
    JK is the widely used nickname of Juscelino Kubitschek, the former president of Brazil best known for founding Brasília and promoting rapid national development.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae56116c81909ab2fc0877363406 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb964fe48190a28fc50426d7c5d4 completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd071be4819090d6adf0e27c99d2 completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce04855481908bfca416fda8c218 completed March 27, 2026, 6:35 p.m.
Created at: March 27, 2026, 1:53 p.m.