Triple
T25399366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanserhorn |
E636377
|
entity |
| Predicate | hasSummitRestaurant |
P155363
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Stanserhorn, hasSummitRestaurant, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSummitRestaurant Context triple: [Stanserhorn, hasSummitRestaurant, yes]
-
A.
hasMountainRestaurants
chosen
Indicates that a location or area contains one or more restaurants situated in a mountainous setting.
-
B.
hasSummitVillage
Indicates that an entity has an associated village located at or near its summit.
-
C.
hasSummitRoad
Indicates that there exists a road providing access to the summit or highest point of a geographic feature or structure.
-
D.
hasSummitIn
Indicates that an entity (such as a mountain or organization) has its summit or peak located within a specified place or region.
-
E.
hasSummitTrail
Indicates that there exists a trail or route leading to the summit or highest point of a geographic feature.
- F. None of above.
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_69e75db263888190b77fff9e2827b9a2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 21, 2026, 1:50 p.m.