Triple
T6423488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Ouzel |
E128000
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Bletchley |
E310476
|
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: Bletchley | Statement: [River Ouzel, passesNear, Bletchley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bletchley Context triple: [River Ouzel, passesNear, Bletchley]
-
A.
Bletchley
chosen
Bletchley is a town in Buckinghamshire, England, best known as the location of Bletchley Park, the World War II codebreaking center.
-
B.
Brackley
Brackley is a historic market town in southern Northamptonshire, England, known for its medieval origins and proximity to the Silverstone motor racing circuit.
-
C.
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.
-
D.
Biggleswade
Biggleswade is a market town in eastern England situated on the River Ivel, known historically for agriculture and as a local commercial center.
-
E.
Leighton Buzzard
Leighton Buzzard is a historic market town in southern England known for its traditional high street, canal-side setting, and proximity to London.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06906eea88190a445c1ff1169c2b1 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640dc01188190b67290801aae0d6c |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:43 p.m.