Triple

T16903695
Position Surface form Disambiguated ID Type / Status
Subject Kirkenes Airport Høybuktmoen E424502 entity
Predicate ICAOcode P419 FINISHED
Object ENKR
ENKR is the ICAO airport code for Kirkenes Airport, Høybuktmoen in Norway.
E1239396 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: ENKR | Statement: [Kirkenes Airport Høybuktmoen, ICAOcode, ENKR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ENKR
Context triple: [Kirkenes Airport Høybuktmoen, ICAOcode, ENKR]
  • A. ENK
    ENK is the ICAO airline designator assigned to Equair, an Ecuadorian commercial airline.
  • B. ENKB
    ENKB is the ICAO airport code for Kristiansund Airport, Kvernberget in Norway.
  • C. ENJA
    ENJA is the ICAO airport code for Jan Mayensfield, the airfield serving the remote Norwegian island of Jan Mayen in the Arctic Ocean.
  • D. EKR
    EKR is the Swiss Federal Commission against Racism, an independent expert body that advises authorities and promotes measures to combat racism and discrimination in Switzerland.
  • E. En
    En is the Romansh name for the Inn River, a major Alpine river flowing through Switzerland, Austria, and Germany.
  • 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: ENKR
Triple: [Kirkenes Airport Høybuktmoen, ICAOcode, ENKR]
Generated description
ENKR is the ICAO airport code for Kirkenes Airport, Høybuktmoen in Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ENKR
Target entity description: ENKR is the ICAO airport code for Kirkenes Airport, Høybuktmoen in Norway.
  • A. ENK
    ENK is the ICAO airline designator assigned to Equair, an Ecuadorian commercial airline.
  • B. ENKB
    ENKB is the ICAO airport code for Kristiansund Airport, Kvernberget in Norway.
  • C. ENJA
    ENJA is the ICAO airport code for Jan Mayensfield, the airfield serving the remote Norwegian island of Jan Mayen in the Arctic Ocean.
  • D. EKR
    EKR is the Swiss Federal Commission against Racism, an independent expert body that advises authorities and promotes measures to combat racism and discrimination in Switzerland.
  • E. En
    En is the Romansh name for the Inn River, a major Alpine river flowing through Switzerland, Austria, and Germany.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8de3070819085bfe9696bc887ea completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b47a6081909d8609c2bce96d1a completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c84074b0819095853775625b320d completed May 10, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00c8cdcda88190ba4f05a9035668f9 completed May 10, 2026, 6:05 p.m.
Created at: April 10, 2026, 5:30 a.m.