Triple
T24548720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castello d’Argile |
E607296
|
entity |
| Predicate | localAdministrationSeatOf |
P15510
|
FINISHED |
| Object | Comune di Castello d’Argile |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Comune di Castello d’Argile | Statement: [Castello d’Argile, localAdministrationSeatOf, Comune di Castello d’Argile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localAdministrationSeatOf Context triple: [Castello d’Argile, localAdministrationSeatOf, Comune di Castello d’Argile]
-
A.
administrativeCentreType
Indicates the specific kind or level of administrative center that a place serves as within an administrative hierarchy.
-
B.
municipalitySeat
chosen
Indicates that one entity serves as the administrative center or capital (seat) of a municipality.
-
C.
capitalAdministeredFrom
Indicates that the administrative functions of a capital are carried out from a specified location.
-
D.
mainSeatOf
Indicates that one entity serves as the primary or central seat (e.g., of government, administration, or authority) for another entity.
-
E.
previousAdministrativeCentreOf
Indicates that an entity once served as the administrative centre of another entity in the past, but no longer holds that role.
- F. None of above.
Provenance (3 batches)
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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8cb6dc081909bf37123d82ed2c9 |
completed | April 30, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.