Triple
T20501098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midsund |
E503304
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Otrøya |
—
|
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: Otrøya | Statement: [Midsund, locatedOn, Otrøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otrøya Context triple: [Midsund, locatedOn, Otrøya]
-
A.
Otrøya
chosen
Otrøya is a large island in Møre og Romsdal county, Norway, known for its coastal landscapes and rural communities.
-
B.
Osterøy
Osterøy is a large island in Vestland county, Norway, known for its fjord landscape, rural communities, and connection to the mainland via the Osterøy Bridge.
-
C.
Otterøya
Otterøya is an island and settlement area in Trøndelag county, Norway, known for its coastal landscape and connection to the town of Namsos.
-
D.
Otterøya
Otterøya is an island located within Bømlo Municipality in Vestland county on Norway’s western coast.
-
E.
Langøya
Langøya is a large island in the Vesterålen archipelago in northern Norway, known for its dramatic coastal landscapes and fishing communities.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cc1ea7081908d17c224b1670bd7 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.