Triple
T1275129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennine Alps |
E15796
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Weissmies |
E153536
|
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: Weissmies | Statement: [Pennine Alps, contains, Weissmies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weissmies Context triple: [Pennine Alps, contains, Weissmies]
-
A.
Jungfrau
Jungfrau is a prominent and picturesque mountain peak in the Swiss Alps, renowned for its dramatic scenery and status as part of a UNESCO World Heritage Site.
-
B.
Blüemlisalp
Blüemlisalp is a prominent glaciated mountain massif and popular climbing peak in the Swiss Bernese Alps.
-
C.
Lauteraarhorn
Lauteraarhorn is a prominent, steep pyramidal peak in the Swiss Bernese Alps, known for its challenging climbs and striking glaciated surroundings.
-
D.
Wildspitze
Wildspitze is a prominent mountain in the Ötztal Alps of Tyrol, Austria, known as one of the country's highest and most popular alpine climbing peaks.
-
E.
Alphubel
chosen
Alphubel is a prominent glaciated mountain in the Swiss Pennine Alps, located between the Mattertal and Saastal valleys and popular with climbers for its relatively accessible routes.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06ee22081908141868b57596e35 |
completed | March 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce5dac54819097ff1fe72a19380d |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:50 p.m.