Triple
T33986104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulle |
E871412
|
entity |
| Predicate | distanceToClermont-Ferrand |
—
|
GENERATED |
| Object | about 150 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: distanceToClermont-Ferrand Context triple: [Tulle, distanceToClermont-Ferrand, about 150 km]
-
A.
distanceToClermontFerrand_km
chosen
Indicates the physical distance, measured in kilometers, between a given place and Clermont-Ferrand.
-
B.
distanceToSaint-Étienne
Indicates the measured or specified distance between a given entity and the location Saint-Étienne.
-
C.
distanceToChambéryKilometersApprox
Indicates an approximate distance, measured in kilometers, between a given entity and the location of Chambéry.
-
D.
distanceFromLyon
Indicates the spatial distance between a given entity and the city of Lyon.
-
E.
distanceFromToulouse
Indicates the measured spatial distance between a given entity and the location of Toulouse.
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:50 a.m.