Triple
T33629149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chavornay |
E861499
|
entity |
| Predicate | distanceToYverdon-les-Bains |
—
|
GENERATED |
| Object | approximately 15 km |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToYverdon-les-Bains Context triple: [Chavornay, distanceToYverdon-les-Bains, approximately 15 km]
-
A.
distanceFromBesançonKilometres
Indicates the distance, measured in kilometers, between an entity and the city of Besançon.
-
B.
distanceToLausanne
Indicates the measured distance between a given entity’s location and the city of Lausanne.
-
C.
distanceToGeneva
Indicates the spatial distance between a given entity and the location of Geneva.
-
D.
distanceToZurich_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Zurich.
-
E.
distanceToMulhouseKm
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Mulhouse.
- F. None of above. chosen
Provenance (1 batch)
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_69f34981c54c81909b33c3fa2208a52d |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:41 a.m.