Triple
T8584047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werrington |
E203256
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Paston |
E452366
|
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: Paston | Statement: [Werrington, nearbySettlement, Paston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paston Context triple: [Werrington, nearbySettlement, Paston]
-
A.
Paston
chosen
Paston is an English surname historically associated with a prominent gentry family from Norfolk, known for the medieval Paston Letters.
-
B.
Thrupp
Thrupp is a small canal-side village in Oxfordshire, England, known for its historic wharf and picturesque setting along the Oxford Canal.
-
C.
Pocklington
Pocklington is a small market town in the East Riding of Yorkshire, England, known for its historic architecture and surrounding Wolds countryside.
-
D.
Baverstock
Baverstock is a small rural hamlet in Wiltshire, England, known for its historic church and tranquil countryside setting.
-
E.
Haltwhistle
Haltwhistle is a small town in Northumberland, England, known as a gateway to Hadrian’s Wall and the surrounding Tyne Valley countryside.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1ecc188190bbe2ab8d2423505b |
completed | March 31, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89bfb95c81909660460d5813fdaf |
completed | April 2, 2026, 3:22 p.m. |
Created at: March 30, 2026, 6:22 p.m.