Triple
T3265061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bromley and Chislehurst |
E68505
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bickley |
E254504
|
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: Bickley | Statement: [Bromley and Chislehurst, contains, Bickley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bickley Context triple: [Bromley and Chislehurst, contains, Bickley]
-
A.
Bickley
chosen
Bickley is a suburban residential area in the London Borough of Bromley, known for its leafy streets, large Victorian and Edwardian houses, and commuter links into central London.
-
B.
Blackley
Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
-
C.
Ballencrieff
Ballencrieff is a small rural settlement in West Lothian, Scotland, known for its agricultural surroundings and historic character.
-
D.
Baguley
Baguley is a suburban area in Wythenshawe, south Manchester, England, known primarily as a residential district with local transport links and amenities.
-
E.
Bordon
Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafcb2da08190a7f4fefdfe6d0098 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ee82a78819082582a24bac97f44 |
completed | March 12, 2026, 10:01 a.m. |
Created at: March 8, 2026, 3:09 p.m.