Triple
T13709922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cosenza |
E328742
|
entity |
| Predicate | isProvincialCenter |
P3433
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Cosenza, isProvincialCenter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isProvincialCenter Context triple: [Cosenza, isProvincialCenter, true]
-
A.
isProvincialCapital
chosen
Indicates that a location serves as the administrative capital of a province within a country or region.
-
B.
isProvincialCityOf
Indicates that a city serves as an administrative or officially designated city within a specified province.
-
C.
isNationalAdministrativeCenter
Indicates that a location serves as the primary administrative or governmental center for a nation.
-
D.
isDistrictCapitalOf
Indicates that a location serves as the administrative or governmental capital of a specified district.
-
E.
isMajorAdministrativeCentre
Indicates that a location functions as the primary hub for governmental and administrative activities within a larger region or jurisdiction.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.