Triple
T20439141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tønsbergfjorden |
E501335
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Tjøme |
—
|
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: Tjøme | Statement: [Tønsbergfjorden, hasIsland, Tjøme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tjøme Context triple: [Tønsbergfjorden, hasIsland, Tjøme]
-
A.
Tjøme
chosen
Tjøme is a scenic island and former municipality in Vestfold, Norway, known for its coastal landscapes, summer cabins, and popular seaside recreation areas.
-
B.
Strømsø
Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
-
C.
Tjørhom
Tjørhom is a small village in southwestern Norway known for its mountainous landscape and proximity to popular skiing and outdoor recreation areas.
-
D.
Mjøsund
Mjøsund is a small coastal settlement in northern Norway, situated on or near the island of Andørja and known for its scenic fjord landscape and maritime setting.
-
E.
Jøa
Jøa is an island in Trøndelag county, Norway, known for its coastal landscape and rural communities within the former municipality of Fosnes.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f112e48190a3af818c0f6ee839 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.