Triple
T17591159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucerne region |
E428450
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Stanserhorn |
—
|
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: Stanserhorn | Statement: [Lucerne region, contains, Stanserhorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanserhorn Context triple: [Lucerne region, contains, Stanserhorn]
-
A.
Stanserhorn
chosen
Stanserhorn is a prominent mountain in central Switzerland’s Nidwalden canton, known for its panoramic views over Lake Lucerne and the surrounding Alps and for its open-top cable car.
-
B.
Oeschinenhorn
Oeschinenhorn is a prominent peak in the Bernese Alps of Switzerland, forming part of the Blüemlisalp massif and known for its rugged alpine terrain and mountaineering routes.
-
C.
Riederhorn
Riederhorn is a mountain in the Swiss Alps overlooking the Aletsch Glacier in the canton of Valais.
-
D.
Lauteraarhorn
Lauteraarhorn is a prominent, steep pyramidal peak in the Swiss Bernese Alps, known for its challenging climbs and striking glaciated surroundings.
-
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 (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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e6e3888190b73a5b6d7e8c0a55 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.