Triple
T6870778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paddock Wood |
E158537
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Matfield |
E126968
|
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: Matfield | Statement: [Paddock Wood, nearbySettlement, Matfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matfield Context triple: [Paddock Wood, nearbySettlement, Matfield]
-
A.
Matfield
chosen
Matfield is a small rural village in Kent, England, known for its traditional village green and historic buildings.
-
B.
Playford
Playford is a small rural village and civil parish in Suffolk, England, known for its historic church and picturesque countryside setting.
-
C.
Victor Matfield
Victor Matfield is a renowned South African rugby union lock, widely regarded as one of the greatest line-out specialists and key figures in the Springboks’ World Cup–winning era.
-
D.
Faulk
Faulk is a surname most prominently associated with Pro Football Hall of Fame running back Marshall Faulk.
-
E.
Dan Carter
Dan Carter is a legendary New Zealand rugby union fly-half widely regarded as one of the greatest players in the sport’s history.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8aa47f48190bc7cad3cc652f530 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742a841548190abd706ea1efd622f |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:22 p.m.