Triple
T21677841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mischabel range |
E535020
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nadelgrat |
—
|
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: Nadelgrat | Statement: [Mischabel range, contains, Nadelgrat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadelgrat Context triple: [Mischabel range, contains, Nadelgrat]
-
A.
Nadelgrat
chosen
Nadelgrat is a high alpine ridge in the Swiss Pennine Alps known for connecting several prominent 4,000-meter peaks, including the Nadelhorn.
-
B.
Goûter Needle
Goûter Needle is a prominent granite peak in the Mont Blanc massif of the French Alps, known as a key point on the normal route to the summit of Mont Blanc.
-
C.
Nadelhorn
Nadelhorn is a prominent 4,000-meter-class peak in the Swiss Alps, known for its sharp, needle-like summit and popular alpine climbing routes.
-
D.
Glatthorn
Glatthorn is a prominent alpine peak in the Austrian state of Vorarlberg, known for its scenic hiking and skiing terrain in the Bregenz Forest region.
-
E.
Daubenhorn
Daubenhorn is a prominent mountain in the Bernese Alps of Switzerland, known for its via ferrata routes and panoramic views over the Kandersteg region.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a11088081908911af2629f54c1c |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 16, 2026, 6:43 p.m.