Triple
T15751291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andselv |
E381850
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Bardufoss Airport |
E385287
|
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: Bardufoss Airport | Statement: [Andselv, near, Bardufoss Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bardufoss Airport Context triple: [Andselv, near, Bardufoss Airport]
-
A.
Bardufoss Airport
chosen
Bardufoss Airport is a regional airport in northern Norway that serves the town of Bardufoss and the surrounding Troms area, handling both civilian and military air traffic.
-
B.
Honningsvåg Airport
Honningsvåg Airport is a small regional airport in northern Norway that primarily serves the town of Honningsvåg and provides access to the North Cape area.
-
C.
Røst Airport
Røst Airport is a small regional airport serving the island community of Røst in Nordland county, Norway, providing vital air connections to the mainland.
-
D.
Bodø Airport
Bodø Airport is a regional airport in Bodø, Norway, serving as an important hub for civilian flights and military aviation in the Nordland region.
-
E.
Berlevåg Airport
Berlevåg Airport is a small regional airport in Berlevåg, Norway, primarily serving local communities with short-haul domestic flights along the northern coast.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb03539c081908b5df46bb810b949 |
completed | May 9, 2026, 10:07 p.m. |
Created at: April 10, 2026, 4:47 a.m.