Triple
T17726992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spydeberg |
E442487
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Skiptvet |
—
|
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: Skiptvet | Statement: [Spydeberg, locatedNear, Skiptvet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skiptvet Context triple: [Spydeberg, locatedNear, Skiptvet]
-
A.
Skiptvet
chosen
Skiptvet is a rural municipality in Viken county, southeastern Norway, known for its agricultural landscape and small villages.
-
B.
Skutvik
Skutvik is a small coastal village in Hamarøy Municipality in Nordland county, Norway, known as a ferry port linking the mainland with the Lofoten Islands.
-
C.
Follebu
Follebu is a village in Innlandet county, Norway, known for its rural setting and traditional Norwegian countryside character within Gausdal municipality.
-
D.
Tveit
Tveit is a Norwegian surname most notably borne by American actor and singer Aaron Tveit, known for his work in musical theatre, film, and television.
-
E.
Sykkylven
Sykkylven is a municipality in Møre og Romsdal county, Norway, known for its fjord landscape and strong furniture manufacturing industry.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e25a80819096289fba4ecb227f |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 10:07 a.m.