Triple
T15663971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eidfjord |
E376637
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Måbødalen valley |
E1170039
|
NE FINISHED |
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: Måbødalen valley | Statement: [Eidfjord, hasAttraction, Måbødalen valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Måbødalen valley Context triple: [Eidfjord, hasAttraction, Måbødalen valley]
-
A.
Måbødalen
chosen
Måbødalen is a dramatic river valley and gorge in western Norway, renowned for its steep cliffs, winding road, and proximity to major waterfalls and fjord landscapes.
-
B.
Verdal valley
Verdal valley is a fertile agricultural valley in Trøndelag county, central Norway, known for its farming landscape and the town of Verdalsøra.
-
C.
Gade Valley
Gade Valley is a low-lying valley landscape in Hertfordshire, England, shaped by the River Gade and its surrounding floodplain.
-
D.
Gausdal valley
Gausdal valley is a scenic inland valley in Innlandet county, Norway, known for its rural landscapes, forests, and traditional farming communities.
-
E.
Skjåk valley
Skjåk valley is a scenic valley in Innlandet county, Norway, known for its mountainous landscapes, traditional farming, and proximity to major national parks like Jotunheimen and Reinheimen.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f0f4df08190ad2c5d78e435d8eb |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff28d38a4819085bf051b566c17e7 |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 4:16 a.m.