Triple
T15878093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ørsta |
E385000
|
entity |
| Predicate | hasMountainRange |
P651
|
FINISHED |
| Object | Sunnmørsalpene |
E371983
|
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: Sunnmørsalpene | Statement: [Ørsta, hasMountainRange, Sunnmørsalpene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunnmørsalpene Context triple: [Ørsta, hasMountainRange, Sunnmørsalpene]
-
A.
Sunnmørsalpene
chosen
Sunnmørsalpene is a dramatic alpine mountain range in western Norway, renowned for its steep peaks, deep fjords, and popular hiking and ski-touring terrain.
-
B.
Alpstein
Alpstein is a picturesque subrange of the Alps in northeastern Switzerland, known for its dramatic limestone peaks, hiking trails, and traditional Appenzell landscapes.
-
C.
Meglisalp
Meglisalp is a small, picturesque alpine settlement and hiking destination in the Swiss Alpstein mountains, known for its traditional mountain huts and scenic surroundings.
-
D.
Alpspitze
Alpspitze is a prominent pyramid-shaped peak in the Bavarian Alps of Germany, popular for hiking, climbing, and skiing.
-
E.
Strahlhorn
Strahlhorn is a prominent 4,190-meter alpine peak in the Pennine Alps of Switzerland, popular with mountaineers for its glaciated routes and panoramic views.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fec9d4819081efea504e1e3952 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb043b6d48190bf9a36a3e00403c0 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.