Triple
T21369130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uri Alps |
E527003
|
entity |
| Predicate | hasNotablePeak |
P10602
|
FINISHED |
| Object | Sustenhorn |
—
|
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: Sustenhorn | Statement: [Uri Alps, hasNotablePeak, Sustenhorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sustenhorn Context triple: [Uri Alps, hasNotablePeak, Sustenhorn]
-
A.
Sustenhorn
chosen
Sustenhorn is a prominent alpine peak in the Uri Alps of Switzerland, popular with mountaineers for its glacier-clad slopes and panoramic views.
-
B.
Nutzhorn
Nutzhorn is a German-origin surname most notably associated with Dorothea Lange, the influential American documentary photographer born Dorothea Margaretta Nutzhorn.
-
C.
Klein Matterhorn
Klein Matterhorn is a high Alpine peak in the Pennine Alps of Switzerland, famous for its cable car access from Zermatt and panoramic views of surrounding mountains including the Matterhorn.
-
D.
Lauteraarhorn
Lauteraarhorn is a prominent, steep pyramidal peak in the Swiss Bernese Alps, known for its challenging climbs and striking glaciated surroundings.
-
E.
Hösthorn
Hösthorn is a poetry collection by Swedish Nobel laureate Erik Axel Karlfeldt, known for its evocative depictions of nature and rural life.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0ad04e081908ff02b2ee2bc7485 |
completed | April 22, 2026, 11:27 a.m. |
Created at: April 16, 2026, 5:09 p.m.