Triple
T15763522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellingsøya |
E382157
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Ellingsøya |
—
|
NE NERFINISHED |
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: Ellingsøya | Statement: [Ellingsøya, hasOfficialName, Ellingsøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellingsøya Context triple: [Ellingsøya, hasOfficialName, Ellingsøya]
-
A.
Ellingsøya
chosen
Ellingsøya is an island in Møre og Romsdal county, Norway, known for its close connection to the coastal town of Ålesund and its scenic fjord landscape.
-
B.
Ytterøya
Ytterøya is an island in Trøndelag county, central Norway, known for its rural landscape and location within the Trondheimsfjord.
-
C.
Magerøya
Magerøya is a remote Norwegian island in the Arctic Ocean, best known as the location of the North Cape, a popular tourist destination often considered the northernmost point of mainland Europe accessible by road.
-
D.
Tysnesøya
Tysnesøya is a large island in western Norway known for its scenic coastal landscapes and location within the municipality of Tysnes.
-
E.
Moskenesøya
Moskenesøya is a rugged island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b6c9fc8190a1bcf763c4b04b12 |
completed | April 16, 2026, 3 a.m. |
Created at: April 10, 2026, 4:47 a.m.