Triple
T21646834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matter valley |
E534241
|
entity |
| Predicate | nearbyPeak |
P7612
|
FINISHED |
| Object | Weisshorn |
—
|
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: Weisshorn | Statement: [Matter valley, nearbyPeak, Weisshorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weisshorn Context triple: [Matter valley, nearbyPeak, Weisshorn]
-
A.
Weisshorn
chosen
Weisshorn is a prominent and sharply pyramidal 4,506-meter peak in the Swiss Alps, renowned as one of the most beautiful and challenging mountains in the Pennine range.
-
B.
Aroser Weisshorn
Aroser Weisshorn is a mountain in the Plessur Alps of eastern Switzerland, known for its scenic alpine views and hiking opportunities near the resort town of Arosa.
-
C.
Weisshorn (Bernese Alps)
Weisshorn (Bernese Alps) is a mountain peak in the Bernese Alps of Switzerland, known for its alpine scenery and popularity among hikers and climbers.
-
D.
Distelhorn
Distelhorn is a mountain peak in the Pennine Alps of Switzerland, forming part of the Weissmies group.
-
E.
Parseierspitze
Parseierspitze is a prominent mountain peak in the Austrian Alps, noted for its challenging climbs and striking alpine scenery.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef591194dc8190a57b28eaddeceff5 |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:35 p.m.