Triple
T20377484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golborne |
E497730
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Kensal Town
Kensal Town is a residential district in West London known for its diverse community and proximity to areas like Notting Hill and Ladbroke Grove.
|
E1556160
|
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: Kensal Town | Statement: [Golborne, adjacentTo, Kensal Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kensal Town Context triple: [Golborne, adjacentTo, Kensal Town]
-
A.
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.
-
B.
Wood Green
Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
-
C.
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.
-
D.
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.
-
E.
Yiewsley
Yiewsley is a suburban area in the London Borough of Hillingdon in west London, known for its residential character and proximity to waterways and transport links.
- 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: Kensal Town Triple: [Golborne, adjacentTo, Kensal Town]
Generated description
Kensal Town is a residential district in West London known for its diverse community and proximity to areas like Notting Hill and Ladbroke Grove.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kensal Town Target entity description: Kensal Town is a residential district in West London known for its diverse community and proximity to areas like Notting Hill and Ladbroke Grove.
-
A.
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.
-
B.
Wood Green
Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
-
C.
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.
-
D.
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.
-
E.
Yiewsley
Yiewsley is a suburban area in the London Borough of Hillingdon in west London, known for its residential character and proximity to waterways and transport links.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678ae3468819087d7db7e1b79efc7 |
completed | April 20, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba78fd40081909715cd27cf05236a |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba7fee49481909915675cd5b21df2 |
completed | May 18, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba8ac6b008190bf0441b47af7d93b |
completed | May 19, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:27 a.m.