Triple
T32617160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bischheim |
E833817
|
entity |
| Predicate | distanceToStrasbourgCenterKilometers |
—
|
GENERATED |
| Object | approximately 5 |
—
|
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: distanceToStrasbourgCenterKilometers Context triple: [Bischheim, distanceToStrasbourgCenterKilometers, approximately 5]
-
A.
distanceFromStrasbourg
chosen
Indicates the spatial distance between a given place or entity and the city of Strasbourg.
-
B.
distanceToMetzKilometers
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Metz.
-
C.
distanceFromBesançonKilometres
Indicates the distance, measured in kilometers, between an entity and the city of Besançon.
-
D.
distanceToBasel_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Basel.
-
E.
distanceFromParisCenter
Indicates the measured distance between a given location and the central point of Paris.
- F. None of above.
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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:06 a.m.