Triple
T16480484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiesch (municipality) |
E400302
|
entity |
| Predicate | hasNearbyFeature |
P350
|
FINISHED |
| Object | Eggishorn |
E393389
|
NE FINISHED |
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: Eggishorn | Statement: [Fiesch (municipality), hasNearbyFeature, Eggishorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eggishorn Context triple: [Fiesch (municipality), hasNearbyFeature, Eggishorn]
-
A.
Eggishorn
chosen
Eggishorn is a prominent mountain peak in the Swiss Alps known for its panoramic views over the Aletsch Glacier and surrounding high alpine landscape.
-
B.
Hösthorn
Hösthorn is a poetry collection by Swedish Nobel laureate Erik Axel Karlfeldt, known for its evocative depictions of nature and rural life.
-
C.
Hochalmspitze
Hochalmspitze is a prominent mountain in the Austrian Alps, renowned for its glaciated summit and challenging alpine climbing routes.
-
D.
Ulrichshorn
Ulrichshorn is a high alpine peak in the Swiss Pennine Alps, located near Saas-Fee and known as one of the summits of the Mischabel range.
-
E.
Trettachspitze
Trettachspitze is a prominent, sharply pointed mountain peak in the Allgäu region of the Northern Limestone Alps in southern Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e01f6c88190b75a0d6c94786426 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00581ebe888190a331974473f1be1a |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:13 a.m.