Triple
T9445588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colnbrook |
E227754
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object | Colnbrook with Poyle |
E227754
|
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: Colnbrook with Poyle | Statement: [Colnbrook, hasParish, Colnbrook with Poyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colnbrook with Poyle Context triple: [Colnbrook, hasParish, Colnbrook with Poyle]
-
A.
Colnbrook
chosen
Colnbrook is a village in Berkshire, England, near Heathrow Airport, known historically as a coaching stop on the London–Bath road.
-
B.
Colney Heath
Colney Heath is a village and civil parish in the county of Hertfordshire in the East of England.
-
C.
London Colney
London Colney is a village in Hertfordshire, England, best known in football for hosting Arsenal F.C.’s main training centre.
-
D.
Wooburn Green
Wooburn Green is a village and large green in Buckinghamshire, England, situated near High Wycombe in the River Wye valley.
-
E.
Northbourne
Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f33deb88190bc74968575963ac4 |
completed | April 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d110669ca48190bbaf772e2e6aa457 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:51 p.m.