Triple
T21953956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brønnøya |
E542134
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sandvika |
—
|
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: Sandvika | Statement: [Brønnøya, locatedNear, Sandvika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandvika Context triple: [Brønnøya, locatedNear, Sandvika]
-
A.
Sandvika
chosen
Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
-
B.
Grorud
Grorud is a borough in the northeastern part of Oslo, Norway, known for its residential areas, green spaces, and diverse population.
-
C.
Notodden
Notodden is a town and municipality in Vestfold og Telemark county, Norway, known for its industrial heritage and annual blues festival.
-
D.
Tonstad
Tonstad is a small village in Agder county, Norway, serving as the administrative and commercial center of Sirdal municipality.
-
E.
Kristinestad
Kristinestad is a small coastal town in western Finland known for its well-preserved wooden old town and historic maritime character.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243dfb4081909bc7a722843ffea7 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:59 p.m.