Triple
T25863882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Paisley |
E651558
|
entity |
| Predicate | hasCathedralPatronSaint |
P67665
|
FINISHED |
| Object | Saint Mirin |
—
|
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: Saint Mirin | Statement: [Roman Catholic Diocese of Paisley, hasCathedralPatronSaint, Saint Mirin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCathedralPatronSaint Context triple: [Roman Catholic Diocese of Paisley, hasCathedralPatronSaint, Saint Mirin]
-
A.
hasCathedralPatron
chosen
Indicates that a person or entity serves as the patron or primary supporter of a particular cathedral.
-
B.
hasCathedralDedicatedTo
Indicates that one entity possesses or contains a cathedral whose dedication (to a saint, figure, or concept) is specifically associated with another entity.
-
C.
hasPatronSaint
Indicates that one entity serves as the patron saint associated with, protecting, or representing another entity.
-
D.
hasCathedralDiocese
Indicates that a cathedral is associated with or belongs to a particular diocese within a church’s administrative structure.
-
E.
hasCathedralParish
Indicates that a cathedral is associated with or served by a specific parish within an ecclesiastical 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 22, 2026, 8:06 a.m.