Triple
T7742688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Michael’s Church of Ireland |
E175547
|
entity |
| Predicate | parishInDiocese |
P32444
|
FINISHED |
| Object | a diocese of the Church of Ireland |
—
|
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: a diocese of the Church of Ireland | Statement: [St Michael’s Church of Ireland, parishInDiocese, a diocese of the Church of Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parishInDiocese Context triple: [St Michael’s Church of Ireland, parishInDiocese, a diocese of the Church of Ireland]
-
A.
parishIncludes
Indicates that a parish geographically or administratively contains or encompasses another entity or area.
-
B.
parish
Indicates that an entity is administratively or ecclesiastically associated with a particular parish.
-
C.
administrativeDiocese
chosen
Indicates that one entity serves as the ecclesiastical administrative diocese responsible for the governance or oversight of another entity.
-
D.
parishWith
Indicates that one entity is associated with, belongs to, or is administered together with another entity as part of the same parish.
-
E.
linkedDiocese
Indicates a formal association or connection established between one diocese and another.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:07 p.m.