Triple
T13471699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mainland Norway |
E311642
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Vesterålen |
E80150
|
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: Vesterålen | Statement: [mainland Norway, contains, Vesterålen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vesterålen Context triple: [mainland Norway, contains, Vesterålen]
-
A.
Vesterålen
chosen
Vesterålen is a scenic archipelago in northern Norway known for its dramatic coastal landscapes, rich fishing traditions, and excellent whale-watching opportunities.
-
B.
Lofoten
Lofoten is a dramatic Arctic archipelago in Norway known for its steep mountains, sheltered bays, fishing villages, and views of the midnight sun and Northern Lights.
-
C.
Brønnøya
Brønnøya is a scenic island in the Oslofjord known for its holiday homes, nature trails, and car-free environment, located within the municipality of Asker in Norway.
-
D.
Tjeldøya
Tjeldøya is an island in northern Norway known for its rugged coastal landscape and location within the Ofoten region.
-
E.
Bispevika
Bispevika is a redeveloped waterfront district in Oslo, Norway, featuring modern residential, commercial, and cultural spaces along the city’s inner harbor.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf22e5f88190b1078f006c8ef7c0 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1330527481908d518093debc9ad1 |
completed | May 9, 2026, 10:57 a.m. |
Created at: April 9, 2026, 9:42 p.m.