Triple
T32579552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mer |
E832742
|
entity |
| Predicate | distanceToLoireRiver |
—
|
GENERATED |
| Object | near the Loire River |
—
|
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: distanceToLoireRiver Context triple: [Mer, distanceToLoireRiver, near the Loire River]
-
A.
distanceFromOrléans
Indicates the spatial distance between a given location and the city of Orléans.
-
B.
distanceFromAngersKilometres
Indicates the physical distance, measured in kilometers, between an entity and the location of Angers.
-
C.
distanceFromLyon
Indicates the spatial distance between a given entity and the city of Lyon.
-
D.
distanceToToulon_km
Indicates the distance, measured in kilometers, between a given entity’s location and the city of Toulon.
-
E.
distanceToRouen
Indicates the spatial distance between a given entity and the location of Rouen.
- 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_69f349289adc81909f4374a58ec35a39 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 1:04 a.m.