Triple
T16903694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirkenes Airport Høybuktmoen |
E424502
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | KKN |
E663573
|
NE FINISHED |
How this triple was built (2 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: KKN | Statement: [Kirkenes Airport Høybuktmoen, IATAcode, KKN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KKN Context triple: [Kirkenes Airport Høybuktmoen, IATAcode, KKN]
-
A.
KKN
chosen
KKN is the National Rail station code assigned to Kirknewton railway station in Scotland.
-
B.
KKNK
KKNK is a major annual Afrikaans-language arts and culture festival held in Oudtshoorn, South Africa, showcasing theatre, music, visual arts, and literature.
-
C.
PKKP
PKKP is the abbreviation for Polska Krajowa Kasa Pożyczkowa, a historical Polish national loan office that played a key role in the country’s early financial and monetary system.
-
D.
KKH
KKH is the abbreviation for the Karakoram Highway, a major high-altitude road linking Pakistan and China through the Karakoram mountain range.
-
E.
KNA
KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: April 10, 2026, 5:30 a.m.