Triple
T20410220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kensaltown Studios |
E500568
|
entity |
| Predicate | locatedInArea |
P40
|
FINISHED |
| Object | Kensal Town |
—
|
NE NERFINISHED |
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: Kensal Town | Statement: [Kensaltown Studios, locatedInArea, Kensal Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kensal Town Context triple: [Kensaltown Studios, locatedInArea, Kensal Town]
-
A.
Kensal Town
chosen
Kensal Town is a residential district in West London known for its diverse community and proximity to areas like Notting Hill and Ladbroke Grove.
-
B.
Kentish Town
Kentish Town is a residential and commercial district in north London known for its vibrant high street, music venues, and proximity to central London.
-
C.
Wood Green
Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
-
D.
Buckhurst Hill
Buckhurst Hill is a suburban town in Essex, England, situated on the edge of Epping Forest and forming part of the London commuter belt.
-
E.
Snaresbrook
Snaresbrook is a suburban area in East London known for its leafy residential streets, proximity to Epping Forest, and its Central line Underground station.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3ecb348190ae777f6276037828 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.