Triple
T6867641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barton Bendish |
E158449
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Oxborough |
E51663
|
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: Oxborough | Statement: [Barton Bendish, locatedNear, Oxborough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxborough Context triple: [Barton Bendish, locatedNear, Oxborough]
-
A.
Oxborough
chosen
Oxborough is a small rural village in Norfolk, England, noted for its historic Oxburgh Hall and traditional countryside setting.
-
B.
Orsett
Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
-
C.
Elmswell
Elmswell is a village and civil parish in the county of Suffolk in eastern England.
-
D.
Northbourne
Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
-
E.
White Waltham
White Waltham is a village and civil parish in Berkshire, England, known for its historic airfield and rural character within the Royal Borough of Windsor and Maidenhead.
- 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_69c6d8a793a481909340239c065393a4 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74292922c8190a0d3ee6f74ff672c |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:21 p.m.