Triple
T14498686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Brett |
E359571
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Chelsworth |
E299760
|
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: Chelsworth | Statement: [River Brett, flowsThrough, Chelsworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chelsworth Context triple: [River Brett, flowsThrough, Chelsworth]
-
A.
Chelsworth
chosen
Chelsworth is a small rural village and civil parish in Suffolk, England, known for its historic buildings and picturesque countryside setting.
-
B.
Blisworth
Blisworth is a village in Northamptonshire, England, known for its historic location on the Grand Union Canal near the Blisworth Tunnel.
-
C.
Highworth
Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
-
D.
Chaldicotes
Chaldicotes is a fictional country estate in Anthony Trollope’s Barsetshire novels, notably associated with the character Mr. Sowerby.
-
E.
Chollerton
Chollerton is a small rural village and civil parish in Northumberland, England, situated within the Tynedale district.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9311cc748190880c784f173b7f2b |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d99a7948190a3ff01e7b74aaa1e |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.