Triple
T13418156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svolvær Airport Helle |
E313267
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Svolvær |
E323764
|
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: Svolvær | Statement: [Svolvær Airport Helle, locatedIn, Svolvær]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svolvær Context triple: [Svolvær Airport Helle, locatedIn, Svolvær]
-
A.
Svolvær
chosen
Svolvær is a coastal town in northern Norway that serves as a key fishing, tourism, and transport hub in the Lofoten archipelago.
-
B.
Berlevåg
Berlevåg is a small coastal town and municipality in Troms og Finnmark county in northern Norway, known for its fishing industry and exposed location on the Barents Sea.
-
C.
Tingvoll
Tingvoll is a small municipality and village area in western Norway known for its rural landscape, fjords, and agricultural traditions.
-
D.
Honningsvåg
Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
-
E.
Røst
Røst is a small, remote island and fishing community in northern Norway, known for its dramatic coastal scenery, rich seabird colonies, and traditional cod fisheries.
- 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_69f79d37b9988190b8f830fb52586340 |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:39 p.m.