Triple
T21318692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Kensington tube station |
E525548
|
entity |
| Predicate | nearbyArea |
P2064
|
FINISHED |
| Object | West Kensington |
—
|
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: West Kensington | Statement: [West Kensington tube station, nearbyArea, West Kensington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Kensington Context triple: [West Kensington tube station, nearbyArea, West Kensington]
-
A.
West Kensington
chosen
West Kensington is a residential district in West London known for its Victorian architecture, diverse community, and proximity to central London.
-
B.
Kensington
Kensington is a popular inner-city district in Calgary known for its vibrant mix of shops, restaurants, and cultural venues.
-
C.
Kensington
Kensington is a district in West London, England, known for its affluent residential areas, cultural institutions, and royal associations.
-
D.
Kensington
Kensington is a small, affluent residential village located on the North Shore of Long Island in Nassau County, New York.
-
E.
Kensington
Kensington is a small, affluent unincorporated community in Contra Costa County, California, located in the San Francisco Bay Area.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ece1c348190aaa9c52474b57b2f |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:37 p.m.