Triple
T5280271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lofoten Basin |
E119478
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Lofoten |
E79490
|
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: Lofoten | Statement: [Lofoten Basin, namedAfter, Lofoten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lofoten Context triple: [Lofoten Basin, namedAfter, Lofoten]
-
A.
Lofoten
chosen
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.
-
B.
Vesterålen
Vesterålen is a scenic archipelago in northern Norway known for its dramatic coastal landscapes, rich fishing traditions, and excellent whale-watching opportunities.
-
C.
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.
-
D.
Fosen
Fosen is a peninsula and traditional district in central Norway known for its coastal landscape, wind farms, and location across the Trondheimsfjord from the city of Trondheim.
-
E.
Hinnøya
Hinnøya is the largest island in mainland Norway, known for its dramatic fjords, mountains, and coastal landscapes in the north of the country.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84c409248190a0154a660f58e096 |
completed | March 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06dd56a08190a7cfef614e5990f4 |
completed | March 21, 2026, 9 p.m. |
Created at: March 20, 2026, 1:52 p.m.