Triple
T8112461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malmøya |
E189387
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Ormøya |
E190848
|
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: Ormøya | Statement: [Malmøya, locatedNear, Ormøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ormøya Context triple: [Malmøya, locatedNear, Ormøya]
-
A.
Ormøya
chosen
Ormøya is a small, scenic island and residential area in the inner Oslofjord, just southeast of central Oslo, Norway.
-
B.
Nøtterøy
Nøtterøy is a large, populated island and former municipality in Vestfold, Norway, situated in the Oslofjord and known for its coastal landscapes and residential communities.
-
C.
Tromøya
Tromøya is a large island off Norway’s southern coast, known for its scenic landscapes and proximity to the town of Arendal.
-
D.
Askøy
Askøy is a large island and municipality on Norway’s west coast, situated near Bergen and known for its coastal landscapes and commuter links to the city.
-
E.
Rennesøy
Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb432d7dfc8190b9c980f32c7b4623 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd678a4b548190b9d1a584d9139888 |
completed | April 1, 2026, 6:44 p.m. |
Created at: March 30, 2026, 5:32 p.m.