Triple
T19015916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oeschinen Lake |
E465347
|
entity |
| Predicate | hasNearbyPeak |
P7612
|
FINISHED |
| Object | Doldenhorn |
—
|
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: Doldenhorn | Statement: [Oeschinen Lake, hasNearbyPeak, Doldenhorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doldenhorn Context triple: [Oeschinen Lake, hasNearbyPeak, Doldenhorn]
-
A.
Doldenhorn
chosen
Doldenhorn is a prominent mountain in the Bernese Alps of Switzerland, known for its striking pyramid shape and popular alpine climbing routes.
-
B.
Fellhorn
Fellhorn is a prominent mountain in the Allgäu Alps on the German-Austrian border, popular for hiking and skiing near the town of Oberstdorf.
-
C.
Hohberghorn
Hohberghorn is a high alpine peak in the Pennine Alps of Switzerland, known as one of the prominent summits near the Dom and Täschhorn.
-
D.
Hutthurm
Hutthurm is a municipality in the Bavarian region of southeastern Germany, situated near the city of Passau.
-
E.
Tripplehorn
Tripplehorn is the surname of American actress Jeanne Tripplehorn, known for her roles in films like "Basic Instinct" and "Waterworld" and the TV series "Big Love."
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6db04fc819094709f223e30a526 |
completed | April 20, 2026, 7:33 a.m. |
Created at: April 10, 2026, 12:02 p.m.