Triple
T37148124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villesi |
E920294
|
entity |
| Predicate | associatedWithNearbyCity |
—
|
GENERATED |
| Object | Reggio Calabria |
—
|
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: associatedWithNearbyCity Context triple: [Villesi, associatedWithNearbyCity, Reggio Calabria]
-
A.
hasNearbyCityArea
Indicates that one area is geographically close to or adjacent to a city area.
-
B.
hasNearbyCityFunction
Indicates that one entity serves as a nearby urban center or city-like service hub for another entity.
-
C.
hasAssociatedCity
chosen
Indicates that one entity is linked or related to a specific city, typically as its location, base, or primary area of association.
-
D.
associatedWithLocality
Indicates a relationship where something has a connection or relevance to a specific geographic place or locality.
-
E.
associatedCityCode
Indicates that an entity is linked or related to a specific city identified by its code.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:15 p.m.