Triple
T10472217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A47 road |
E246950
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Pentney |
E49535
|
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: Pentney | Statement: [A47 road, passesNear, Pentney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pentney Context triple: [A47 road, passesNear, Pentney]
-
A.
Pentney
chosen
Pentney is a small rural village in Norfolk, England, known for its historic priory remains and tranquil countryside setting.
-
B.
Pennard
Pennard is a coastal village in Swansea, Wales, known for its scenic cliffs, nearby beaches, and the ruins of medieval Pennard Castle overlooking Three Cliffs Bay.
-
C.
Pyrton
Pyrton is a small rural village and civil parish in Oxfordshire, England, known for its historic church and traditional English countryside setting.
-
D.
Wallisdown
Wallisdown is a suburban area of Bournemouth in Dorset, England, known for hosting higher education campuses and residential neighborhoods.
-
E.
Poynton
Poynton is a town in Cheshire, England, known for its former coal mining industry and distinctive shared-space central junction.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5094cec788190a485c5c9e7cd024a |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc68b49481909715c36a4c0e7c4f |
completed | April 10, 2026, 11:18 a.m. |
Created at: April 6, 2026, 12:20 p.m.