Triple
T971403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Michael and All Angels' Church, East Coker |
E20951
|
entity |
| Predicate | hasParishStatus |
P13874
|
FINISHED |
| Object | active parish church |
—
|
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: active parish church | Statement: [St Michael and All Angels' Church, East Coker, hasParishStatus, active parish church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParishStatus Context triple: [St Michael and All Angels' Church, East Coker, hasParishStatus, active parish church]
-
A.
hasCivilParishStatus
Indicates that an entity holds the official administrative status or designation of a civil parish.
-
B.
hasParishType
chosen
Indicates that an entity is associated with or classified by a specific type or category of parish.
-
C.
parish
Indicates that an entity is administratively or ecclesiastically associated with a particular parish.
-
D.
hasClergy
Indicates that an organization or institution possesses or is served by members of the clergy.
-
E.
hasParishCouncils
Indicates that an entity possesses, is served by, or is administratively associated with one or more parish councils.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b44aa6088190a90c44a8f694ec41 |
completed | March 1, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a6aa2c8190aebba71320ab678f |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.