Triple
T13418157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svolvær Airport Helle |
E313267
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Vågan |
E1038571
|
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: Vågan | Statement: [Svolvær Airport Helle, locatedIn, Vågan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vågan Context triple: [Svolvær Airport Helle, locatedIn, Vågan]
-
A.
Vågan
chosen
Vågan is a coastal municipality in Nordland county, Norway, encompassing several Lofoten islands and known for its fishing heritage and dramatic Arctic landscapes.
-
B.
Brattvåg
Brattvåg is a small coastal village in western Norway known for its maritime industry and scenic fjord landscape.
-
C.
Telavåg
Telavåg is a small coastal village in western Norway known for the devastating Nazi reprisals carried out there during World War II.
-
D.
Vennesla
Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
-
E.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb8416c8190a00dde0917c26f51 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a83382e88190bfb229f9bab59b17 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:39 p.m.