Triple
T18448368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian National Road 7 |
E450714
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Geilo |
—
|
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: Geilo | Statement: [Norwegian National Road 7, passesThrough, Geilo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geilo Context triple: [Norwegian National Road 7, passesThrough, Geilo]
-
A.
Geilo
chosen
Geilo is a Norwegian mountain village and popular year-round resort known for its skiing, hiking, and proximity to the Hardangervidda plateau.
-
B.
Hjølmo
Hjølmo is a small rural area in the municipality of Eidfjord in Vestland county, Norway, known for its scenic fjord and mountain surroundings.
-
C.
Giæver
Giæver is a Norwegian surname borne by several notable figures in fields such as physics, literature, and public service.
-
D.
Bjorli
Bjorli is a Norwegian village known for its ski resort and scenic mountain surroundings in Innlandet county.
-
E.
Giske
Giske is a coastal municipality in Møre og Romsdal county, Norway, known for its islands, fishing communities, and proximity to the town of Ålesund.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52646949c81909664e864224675a6 |
completed | April 19, 2026, 7 p.m. |
Created at: April 10, 2026, 11:30 a.m.