Triple
T15618245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stryn |
E375474
|
entity |
| Predicate | hasMountain |
P10602
|
FINISHED |
| Object | Skåla |
E366564
|
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: Skåla | Statement: [Stryn, hasMountain, Skåla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skåla Context triple: [Stryn, hasMountain, Skåla]
-
A.
Skåla
chosen
Skåla is a prominent mountain in western Norway, renowned for its steep ascent from the fjord and its distinctive stone tower near the summit.
-
B.
Skibotn
Skibotn is a small village in northern Norway known for its clear skies and role as a center for astronomical observations.
-
C.
Flaskebekk
Flaskebekk is a small residential settlement and coastal area in Nesodden municipality in Viken county, Norway.
-
D.
Skjolden
Skjolden is a small Norwegian village located at the innermost end of a branch of the Sognefjord, surrounded by dramatic fjord and mountain scenery.
-
E.
Øygardstøl
Øygardstøl is a popular mountain lodge and trailhead in Norway that serves as the main starting point for hikes to the famous Kjeragbolten rock.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e997ce481909b2f10d25705fbc6 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56def20881909f835dd44ab9ac2b |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:13 a.m.