Triple
T13118689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vadsø Airport |
E311666
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Varanger region |
E311665
|
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: Varanger region | Statement: [Vadsø Airport, serves, Varanger region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varanger region Context triple: [Vadsø Airport, serves, Varanger region]
-
A.
Varanger Peninsula
chosen
The Varanger Peninsula is a large, sparsely populated peninsula in northeastern Norway known for its Arctic landscapes, rich birdlife, and coastal fishing communities.
-
B.
Varanger Kven
Varanger Kven is a regional variety of the Kven language traditionally spoken by Kven communities in the Varanger area of northern Norway.
-
C.
Umeå archipelago region
The Umeå archipelago region is a coastal area in northern Sweden along the Gulf of Bothnia, known for its scattered islands, maritime landscapes, and proximity to the city of Umeå.
-
D.
Nordlandet
Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
-
E.
Nordland
Nordland is a long coastal county in northern Norway known for its dramatic fjords, islands like the Lofoten archipelago, and Arctic landscapes.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98182011c8190a504678affbb7787 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e284c3c881909d65e2ba89fbe7af |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:06 p.m.