Triple
T13768427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hadseløya |
E330810
|
entity |
| Predicate | locatedBetween |
P1262
|
FINISHED |
| Object | Austvågøya |
E313264
|
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: Austvågøya | Statement: [Hadseløya, locatedBetween, Austvågøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Austvågøya Context triple: [Hadseløya, locatedBetween, Austvågøya]
-
A.
Austvågøya island
Austvågøya island is a large, mountainous island in Norway’s Lofoten archipelago, known for its dramatic coastal scenery, fishing villages, and popular outdoor tourism.
-
B.
Austvågøy
chosen
Austvågøy is a large island in northern Norway known for its dramatic mountains, fishing villages, and role as part of the scenic Lofoten archipelago.
-
C.
Vestvågøy
Vestvågøy is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal scenery.
-
D.
Tjeldøya
Tjeldøya is an island in northern Norway known for its rugged coastal landscape and location within the Ofoten region.
-
E.
Andøya
Andøya is a large Norwegian island in Nordland county, known for its dramatic coastal landscapes, space center, and rich bird and whale-watching opportunities.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0233ecc48190b934f085d2501eb1 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d20a42c819090319629544fa349 |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 9, 2026, 10:10 p.m.