Triple
T20047066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finsteraargletscher |
E497587
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Schreckhorn |
—
|
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: Schreckhorn | Statement: [Finsteraargletscher, near, Schreckhorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schreckhorn Context triple: [Finsteraargletscher, near, Schreckhorn]
-
A.
Schreckhorn
chosen
Schreckhorn is a prominent and rugged mountain peak in the Swiss Alps, known for its challenging climbs and striking glaciated scenery.
-
B.
Finsteraarhorn
Finsteraarhorn is a prominent, glaciated peak in the Swiss Alps known for its remote location and striking pyramidal shape.
-
C.
Riederhorn
Riederhorn is a mountain in the Swiss Alps overlooking the Aletsch Glacier in the canton of Valais.
-
D.
Fiescherhorn
Fiescherhorn is a prominent peak in the Bernese Alps of Switzerland, known for its glaciated slopes and challenging alpine climbs.
-
E.
Gornergrat
Gornergrat is a scenic mountain ridge in the Swiss Alps renowned for its panoramic views of the Matterhorn and surrounding glaciers, accessible by a historic cogwheel railway.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632b2de48190abe2b277d89eb695 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:37 p.m.