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.