Triple
T11705823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Mary’s Church, Donnington |
E278234
|
entity |
| Predicate | parish |
P2739
|
FINISHED |
| Object | Donnington |
E278235
|
NE 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: Donnington | Statement: [St Mary’s Church, Donnington, parish, Donnington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donnington Context triple: [St Mary’s Church, Donnington, parish, Donnington]
-
A.
Donnington
Donnington is a small village in West Sussex, England, situated on the Manhood Peninsula just south of Chichester.
-
B.
Dennington
Dennington is a rural village and civil parish located in the English county of Suffolk.
-
C.
Brize Norton
Brize Norton is a village in Oxfordshire, England, best known for its proximity to RAF Brize Norton, one of the UK’s largest and busiest Royal Air Force stations.
-
D.
Shaw-cum-Donnington
chosen
Shaw-cum-Donnington is a small civil parish and village in Berkshire, England, situated just north of Newbury and known for its mix of rural character and proximity to the River Lambourn.
-
E.
Chipping Norton
Chipping Norton is a historic market town in Oxfordshire, England, known for its Cotswold stone architecture and rural surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49c8c38819083d83f5fdec52b7f |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f280c4d8f4819094f3ebf67f4584a5 |
completed | April 29, 2026, 10:05 p.m. |
Created at: April 8, 2026, 9:40 p.m.