Triple
T15476811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauchamp Place |
E376799
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | central London |
E51106
|
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: central London | Statement: [Beauchamp Place, partOf, central London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: central London Context triple: [Beauchamp Place, partOf, central London]
-
A.
Central London
chosen
Central London is the innermost part of London, England, encompassing its historic core and primary commercial, political, and cultural districts.
-
B.
West London
West London is a major subregion of the UK capital encompassing several affluent residential and commercial districts, including areas like Kensington and Chelsea.
-
C.
London Central
London Central is a major bus operating company in London that runs services across central areas of the city as part of the Go-Ahead London group.
-
D.
east London
East London is a historically industrial and now rapidly regenerating area of London known for its diverse communities, creative scenes, and redeveloped Docklands.
-
E.
West End of London
The West End of London is the city's famous central district known for its major shopping streets, theatres, entertainment venues, and cultural attractions.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f88a5dc8190a2d7830748e29180 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d093ccc8190aefc355a837c83f4 |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:34 a.m.