Triple
T34994271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gossolengo |
E1009478
|
entity |
| Predicate | distanceToPiacenza_km |
—
|
GENERATED |
| Object | approximately 9 |
—
|
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: distanceToPiacenza_km Context triple: [Gossolengo, distanceToPiacenza_km, approximately 9]
-
A.
distanceToPistoia_km
Indicates the physical distance, measured in kilometers, between a given place and the city of Pistoia.
-
B.
distanceFromPavia
Indicates the spatial distance between a given entity or location and the city of Pavia.
-
C.
distanceToBrescia_km
Indicates the physical distance, measured in kilometers, between an entity and the city of Brescia.
-
D.
distanceToBologna_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Bologna.
-
E.
distanceToPescara
Indicates the spatial distance between a given entity and the location of Pescara.
- 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_69f76dca50dc8190b71f39defe186be8 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.