Triple
T17070894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Tulle |
E414214
|
entity |
| Predicate | dioceseRegion |
P2740
|
FINISHED |
| Object | central France |
—
|
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: central France | Statement: [Bishop of Tulle, dioceseRegion, central France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dioceseRegion Context triple: [Bishop of Tulle, dioceseRegion, central France]
-
A.
administrativeDiocese
Indicates that one entity serves as the ecclesiastical administrative diocese responsible for the governance or oversight of another entity.
-
B.
diocese
chosen
Indicates that one entity serves as the ecclesiastical district or jurisdiction under the authority of a bishop to which the other entity is related or belongs.
-
C.
continentOfDiocese
Indicates that a diocese is located on, or belongs geographically to, a specific continent.
-
D.
dioceseGovernedStart
Indicates the point in time when a particular authority or leader began governing a specific diocese.
-
E.
servesDiocesesIn
Indicates that an ecclesiastical jurisdiction, organization, or office provides services, support, or oversight to one or more specified dioceses.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc0982c8190916f9905ddb5e575 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.