Triple
T23531396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gjøvik Station |
E576579
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Gjøvik town centre |
—
|
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: Gjøvik town centre | Statement: [Gjøvik Station, locatedNear, Gjøvik town centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gjøvik town centre Context triple: [Gjøvik Station, locatedNear, Gjøvik town centre]
-
A.
Gjøvik
chosen
Gjøvik is a town and municipality in Innlandet county, Norway, known for its location along Lake Mjøsa and its mix of industrial heritage and modern sports and cultural facilities.
-
B.
Kongsberg town centre
Kongsberg town centre is the central urban area of Kongsberg, Norway, known for its historic silver mining heritage and role as the city’s commercial and cultural hub.
-
C.
Smestad
Smestad is a residential neighborhood in Oslo, Norway, known for its affluent housing and proximity to green areas and good public transport.
-
D.
Tøyen Torg
Tøyen Torg is a central square and commercial hub in Oslo’s Tøyen neighborhood, known for its shops, cafés, and multicultural urban atmosphere.
-
E.
Høvik
Høvik is a suburban residential area and neighborhood in the municipality of Bærum in Viken county, Norway.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac78581c8190bd9d09ce2be8029d |
completed | April 29, 2026, 7 a.m. |
Created at: April 17, 2026, 6:09 p.m.