Triple
T28203336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Barnabas Church, Dibley |
E716947
|
entity |
| Predicate | usedAsMainSettingFor |
P15599
|
FINISHED |
| Object | The Vicar of Dibley |
—
|
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: The Vicar of Dibley | Statement: [St Barnabas Church, Dibley, usedAsMainSettingFor, The Vicar of Dibley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsMainSettingFor Context triple: [St Barnabas Church, Dibley, usedAsMainSettingFor, The Vicar of Dibley]
-
A.
usedAsSettingFor
chosen
Indicates that one entity serves as the backdrop, location, or environment in which another entity (such as an event, story, or activity) takes place.
-
B.
isPrimarilyUsedAs
Indicates that one entity serves mainly or most commonly in the role, function, or purpose specified by the other entity.
-
C.
usedAsDeviceFor
Indicates that one entity functions as a tool, instrument, or device for performing an action or achieving a particular purpose for another entity.
-
D.
knownAsSettingFor
Indicates that something is recognized or regarded as the typical or notable setting or backdrop for something else.
-
E.
usedAsStandard
Indicates that one entity serves as the reference or benchmark against which another entity is measured, compared, or evaluated.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 27, 2026, 10:33 p.m.