Triple
T35931260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bözberg |
E1039169
|
entity |
| Predicate | BözbergPassConnectsRegion |
P184239
|
FINISHED |
| Object | canton of Aargau |
—
|
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: canton of Aargau | Statement: [Bözberg, BözbergPassConnectsRegion, canton of Aargau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BözbergPassConnectsRegion Context triple: [Bözberg, BözbergPassConnectsRegion, canton of Aargau]
-
A.
hasSkiLiftConnectionTo
Indicates a relationship where one location is directly connected to another by a ski lift, allowing travel between them via that lift.
-
B.
hasSkiLiftConnectionWith
Indicates a relationship where two locations or areas are directly connected by a ski lift that allows travel between them.
-
C.
crossesMountainRangeTo
Indicates that one entity traverses from one side of a mountain range to the other, passing across or through it as a route or connection.
-
D.
crossesGlacierRegion
Indicates that one entity passes through or over a region characterized by glacial terrain or ice coverage.
-
E.
skiRegion
Indicates that a location is recognized as a ski area or resort where skiing activities take place.
- F. None of above. chosen
Provenance (4 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_69f76e23e4688190a5369138755138bf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7ac2210e481909279dade5328825c |
completed | May 3, 2026, 8:12 p.m. |
Created at: May 3, 2026, 4:07 p.m.