Triple
T8584666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fen Ditton |
E203274
|
entity |
| Predicate | parishChurchHeritageStatus |
P82983
|
FINISHED |
| Object | listed building |
—
|
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: listed building | Statement: [Fen Ditton, parishChurchHeritageStatus, listed building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parishChurchHeritageStatus Context triple: [Fen Ditton, parishChurchHeritageStatus, listed building]
-
A.
parishChurchDenomination
Indicates the religious denomination with which a parish church is formally affiliated.
-
B.
parishChurchName
Indicates the name of the parish church associated with a given entity.
-
C.
isAnglicanParishChurchIn
Indicates that a church is an Anglican parish church located within a specified place or area.
-
D.
heritageStatusOfCathedral
Indicates the heritage designation or protection status assigned to a cathedral.
-
E.
parishChurchArchitectureStyle
Indicates the architectural style or design tradition in which a parish church is built or characterized.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1ecc188190bbe2ab8d2423505b |
completed | March 31, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:22 p.m.