Triple
T17403510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiescherhorn |
E423154
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Oberes Fiescherhorn |
—
|
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: Oberes Fiescherhorn | Statement: [Fiescherhorn, hasPart, Oberes Fiescherhorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberes Fiescherhorn Context triple: [Fiescherhorn, hasPart, Oberes Fiescherhorn]
-
A.
Fiescherhorn
chosen
Fiescherhorn is a prominent peak in the Bernese Alps of Switzerland, known for its glaciated slopes and challenging alpine climbs.
-
B.
Bettmerhorn
Bettmerhorn is a mountain in the Swiss Alps known for its panoramic views over the Aletsch Glacier and its role as a popular destination for skiing and hiking.
-
C.
Zwölferhorn
Zwölferhorn is a prominent mountain in Austria’s Salzkammergut region, known for its panoramic views over Wolfgangsee and the surrounding Alps.
-
D.
Gspaltenhorn
Gspaltenhorn is a prominent peak in the Bernese Alps of Switzerland, known for its rugged profile and alpine climbing routes.
-
E.
Schnebelhorn
Schnebelhorn is a prominent mountain in northeastern Switzerland known as the highest peak in the canton of Zürich and a popular destination for hiking and nature excursions.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b051cc48190872278ee0b52240d |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:45 a.m.