Triple
T12635393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Caterina Valfurva |
E301748
|
entity |
| Predicate | hasNearbyMountain |
P651
|
FINISHED |
| Object | Ortler |
E245103
|
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: Ortler | Statement: [Santa Caterina Valfurva, hasNearbyMountain, Ortler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ortler Context triple: [Santa Caterina Valfurva, hasNearbyMountain, Ortler]
-
A.
Ortler
chosen
Ortler is a prominent peak in the Eastern Alps of northern Italy, renowned as one of the highest and most iconic mountains in the region.
-
B.
Parseierspitze
Parseierspitze is a prominent mountain peak in the Austrian Alps, noted for its challenging climbs and striking alpine scenery.
-
C.
Birkkarspitze
Birkkarspitze is a prominent Alpine peak in the Karwendel range on the border of Austria and Germany, popular with experienced hikers and mountaineers.
-
D.
Hochalmspitze
Hochalmspitze is a prominent mountain in the Austrian Alps, renowned for its glaciated summit and challenging alpine climbing routes.
-
E.
Strahlhorn
Strahlhorn is a prominent 4,190-meter alpine peak in the Pennine Alps of Switzerland, popular with mountaineers for its glaciated routes and panoramic views.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610fab488190ac6e6d5cf056ae37 |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66871998c8190af8bd3f9ec596ada |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:16 p.m.