Triple
T991916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Bath and Wells |
E21409
|
entity |
| Predicate | numberOfParishes |
P22836
|
FINISHED |
| Object | approximately 450 |
—
|
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: approximately 450 | Statement: [Diocese of Bath and Wells, numberOfParishes, approximately 450]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfParishes Context triple: [Diocese of Bath and Wells, numberOfParishes, approximately 450]
-
A.
numberOfDioceses
Indicates the total count of dioceses associated with a given entity.
-
B.
hasNumberOfChurches
Indicates the relationship that specifies how many churches are associated with a given entity.
-
C.
parish
Indicates that an entity is administratively or ecclesiastically associated with a particular parish.
-
D.
hasParishCouncils
Indicates that an entity possesses, is served by, or is administratively associated with one or more parish councils.
-
E.
numberOfDistricts
Indicates the total count of districts associated with a given entity or area.
- F. None of above. chosen
Provenance (4 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c25e5081909ff1ada6b8bf617a |
completed | March 1, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69a4b2adbde48190b07966d0c3179516 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b38630848190bd3898a4f42018ad |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:41 p.m.