Triple
T4584868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hafjell |
E101942
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Gudbrandsdalen |
E105262
|
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: Gudbrandsdalen | Statement: [Hafjell, partOf, Gudbrandsdalen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gudbrandsdalen Context triple: [Hafjell, partOf, Gudbrandsdalen]
-
A.
Gudbrandsdalen
chosen
Gudbrandsdalen is a major valley in Norway known for its dramatic landscapes, traditional farming culture, and historic role as a key inland travel route.
-
B.
Brumunddal
Brumunddal is a town in Ringsaker Municipality in Innlandet county, Norway, known as an administrative and commercial center on the eastern shore of Lake Mjøsa.
-
C.
Hallingdal
Hallingdal is a major valley and traditional district in southeastern Norway, known for its river, ski resorts, and rich folk culture.
-
D.
Lærdal
Lærdal is a municipality in Vestland county, Norway, known for its dramatic fjord landscapes, historic wooden architecture, and the UNESCO-listed Nærøyfjord area nearby.
-
E.
Gudbrandsdalslågen
Gudbrandsdalslågen is a major river in eastern Norway that flows through the Gudbrandsdal valley and ultimately joins Lake Mjøsa.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59056bb48190ba1e0b5beda9bdc4 |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa33103081909e83155f712b821f |
completed | March 21, 2026, 1:53 a.m. |
Created at: March 20, 2026, 1:10 p.m.