Triple
T16507877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiental |
E400977
|
entity |
| Predicate | hasNearbyMountain |
P651
|
FINISHED |
| Object | Blüemlisalp |
E93214
|
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: Blüemlisalp | Statement: [Kiental, hasNearbyMountain, Blüemlisalp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blüemlisalp Context triple: [Kiental, hasNearbyMountain, Blüemlisalp]
-
A.
Blüemlisalp
chosen
Blüemlisalp is a prominent glaciated mountain massif and popular climbing peak in the Swiss Bernese Alps.
-
B.
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.
-
C.
Griesalp
Griesalp is a remote alpine settlement and hiking hub in the Bernese Oberland region of Switzerland, serving as a starting point for routes into the surrounding high mountains.
-
D.
Alpstein
Alpstein is a picturesque subrange of the Alps in northeastern Switzerland, known for its dramatic limestone peaks, hiking trails, and traditional Appenzell landscapes.
-
E.
Tschentenalp
Tschentenalp is a mountain area and ski resort above Adelboden in the Swiss Alps, known for its scenic views and outdoor activities year-round.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e536e5c8190bef31ab979d2880a |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aae69d1481909f5514cc496f45b5 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:14 a.m.