Triple
T33133269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganges |
E847930
|
entity |
| Predicate | distanceFromMontpellier |
—
|
GENERATED |
| Object | about 40 km north |
—
|
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: distanceFromMontpellier Context triple: [Ganges, distanceFromMontpellier, about 40 km north]
-
A.
distanceToMontpellierKm
chosen
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Montpellier.
-
B.
distanceToMarseilleKilometers
Indicates the physical distance, measured in kilometers, between a given location or entity and the city of Marseille.
-
C.
distanceFromToulouse
Indicates the measured spatial distance between a given entity and the location of Toulouse.
-
D.
distanceToPerpignan
Indicates the physical distance between a given place or entity and the city of Perpignan.
-
E.
distanceToToulouse
Indicates the spatial distance between a given entity’s location and the city 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_69f3495961d88190b16ea542c2c5f825 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:27 a.m.