Triple
T2587058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maidenhead |
E58028
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Cox Green
Cox Green is a residential suburb and civil parish on the outskirts of Maidenhead in Berkshire, England.
|
E283465
|
NE FINISHED |
How this triple was built (4 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: Cox Green | Statement: [Maidenhead, hasNeighbourhood, Cox Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cox Green Context triple: [Maidenhead, hasNeighbourhood, Cox Green]
-
A.
Croxley Green
Croxley Green is a large village and residential suburb near Watford in southern England, known for its green spaces and commuter links to London.
-
B.
Hurst Green
Hurst Green is a small village in Lancashire, England, known for its scenic countryside near the River Ribble and its association with Stonyhurst College.
-
C.
Waltham Cross
Waltham Cross is a town in southeastern England known for its historic Eleanor Cross and its location near the Greater London boundary.
-
D.
Richmond Green
Richmond Green is a historic open space and recreational common in Richmond, London, known for its picturesque setting, cricket matches, and surrounding period architecture.
-
E.
Kew Green
Kew Green is a historic open common and village green in the London district of Kew, known for its surrounding period buildings and proximity to major cultural institutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cox Green Triple: [Maidenhead, hasNeighbourhood, Cox Green]
Generated description
Cox Green is a residential suburb and civil parish on the outskirts of Maidenhead in Berkshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cox Green Target entity description: Cox Green is a residential suburb and civil parish on the outskirts of Maidenhead in Berkshire, England.
-
A.
Croxley Green
Croxley Green is a large village and residential suburb near Watford in southern England, known for its green spaces and commuter links to London.
-
B.
Hurst Green
Hurst Green is a small village in Lancashire, England, known for its scenic countryside near the River Ribble and its association with Stonyhurst College.
-
C.
Waltham Cross
Waltham Cross is a town in southeastern England known for its historic Eleanor Cross and its location near the Greater London boundary.
-
D.
Richmond Green
Richmond Green is a historic open space and recreational common in Richmond, London, known for its picturesque setting, cricket matches, and surrounding period architecture.
-
E.
Kew Green
Kew Green is a historic open common and village green in the London district of Kew, known for its surrounding period buildings and proximity to major cultural institutions.
- F. None of above. chosen
Provenance (5 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd3f8a3888190889c537e6df07305 |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af907510d481909e7c5e5207d17774 |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af91f3cab88190b18fc5a02b66bfdb |
completed | March 10, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af927bb1d0819081ab11eb4470e28d |
completed | March 10, 2026, 3:39 a.m. |
Created at: March 6, 2026, 9:49 p.m.