Triple
T15532021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giske |
E370242
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Valderøya |
—
|
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: Valderøya | Statement: [Giske, hasIsland, Valderøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valderøya Context triple: [Giske, hasIsland, Valderøya]
-
A.
Valderøya
chosen
Valderøya is a village in Møre og Romsdal county, Norway, serving as the main settlement and hub of local services for the island municipality of Giske.
-
B.
Vannøya
Vannøya is a large island in northern Norway known for its rugged coastal landscape, fishing communities, and Arctic climate.
-
C.
Rognøya
Rognøya is an island located in the Norwegian lake Norsjø, known as part of the inland archipelago in Telemark.
-
D.
Ytterøya
Ytterøya is an island in Trøndelag county, central Norway, known for its rural landscape and location within the Trondheimsfjord.
-
E.
Nørvøya
Nørvøya is a coastal island in western Norway that forms part of the urban area of the town of Ålesund.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414877d88190804ee76566004e13 |
completed | April 16, 2026, 1:54 a.m. |
Created at: April 10, 2026, 4:06 a.m.