Triple
T2620044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bracknell |
E58983
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Binfield |
E166635
|
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: Binfield | Statement: [Bracknell, nearbySettlement, Binfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Binfield Context triple: [Bracknell, nearbySettlement, Binfield]
-
A.
Binfield, Berkshire
chosen
Binfield, Berkshire is a village in southern England notable for its historical association with the poet Alexander Pope, who lived there in his youth.
-
B.
Minstead
Minstead is a small village in Hampshire, England, best known as the burial place of Sir Arthur Conan Doyle.
-
C.
Pangbourne
Pangbourne is a picturesque village on the River Thames in Berkshire, England, known for its literary associations and scenic rural charm.
-
D.
Offley
Offley is a village and civil parish in Hertfordshire, England, known for its rural character and historic buildings.
-
E.
Yarnton
Yarnton is a rural village in Oxfordshire, England, known for its historic church, manor house, and proximity to the city of Oxford.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd897acb481909a976b70304cc30e |
completed | March 7, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af908ec0cc8190ab8feb8f237eac4b |
completed | March 10, 2026, 3:31 a.m. |
Created at: March 6, 2026, 9:50 p.m.