Triple
T10373921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moss municipality |
E244452
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Jeløya |
E244453
|
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: Jeløya | Statement: [Moss municipality, hasIsland, Jeløya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeløya Context triple: [Moss municipality, hasIsland, Jeløya]
-
A.
Jeløya
chosen
Jeløya is a large island off the coast of southeastern Norway, known for its scenic landscapes, coastal trails, and proximity to the town of Moss.
-
B.
Ytterøya
Ytterøya is an island in Trøndelag county, central Norway, known for its rural landscape and location within the Trondheimsfjord.
-
C.
Storøya
Storøya is an island located in the lake Tyrifjorden in Norway.
-
D.
Sundøya
Sundøya is an island located in Tyrifjorden, a large lake in southeastern Norway.
-
E.
Bleikøya
Bleikøya is a small island in the inner Oslofjord near Oslo, Norway, known for its recreational areas and scenic coastal landscape.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9804e708190b15f5d38cac9c4c1 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7956ca1e08190880342b22a55783f |
completed | April 9, 2026, 12:02 p.m. |
Created at: April 6, 2026, 12:02 p.m.