Triple
T10087962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bushey |
E215267
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Harrow Weald |
E621320
|
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: Harrow Weald | Statement: [Bushey, adjacentTo, Harrow Weald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harrow Weald Context triple: [Bushey, adjacentTo, Harrow Weald]
-
A.
Harrow Weald
chosen
Harrow Weald is a suburban area in the London Borough of Harrow, known for its residential character and proximity to Harrow Weald Common and other green spaces.
-
B.
Harrow
Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
-
C.
Harpur Hill
Harpur Hill is a small village in the High Peak district of Derbyshire, England, known for its elevated position and proximity to the spa town of Buxton.
-
D.
Letchmore Heath
Letchmore Heath is a small, picturesque village in Hertfordshire, England, known for its traditional village green and historic rural character.
-
E.
Dartford Heath
Dartford Heath is a large area of lowland heathland and open common in north-west Kent, England, known for its wildlife habitats, walking paths, and recreational use.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04875748190a81d1e9ad68dda96 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e583ec2c819086429bd6d323d780 |
completed | April 5, 2026, 10:43 p.m. |
Created at: March 30, 2026, 9:01 p.m.