Triple
T4439491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spelsbury |
E95734
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Charlbury |
E98549
|
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: Charlbury | Statement: [Spelsbury, near, Charlbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlbury Context triple: [Spelsbury, near, Charlbury]
-
A.
Charlbury
chosen
Charlbury is a historic market town and civil parish in the Cotswolds area of Oxfordshire, England, known for its rural charm and traditional English architecture.
-
B.
Bicester
Bicester is a historic market town in Oxfordshire, England, best known today for its rapid growth and the popular designer outlet shopping destination Bicester Village.
-
C.
Chinnor
Chinnor is a large village and civil parish in Oxfordshire, England, known for its historic railway and location at the foot of the Chiltern Hills.
-
D.
Ledbury
Ledbury is a historic market town in England known for its timber-framed buildings and literary connections, including hosting the Ledbury Poetry Festival.
-
E.
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.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355aaa9288190b95d875d343d6ee5 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6137b97748190b8ebecaf590baad3 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:31 p.m.