Triple
T980878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kensington and Chelsea |
E21164
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Earl's Court |
E14419
|
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: Earl's Court | Statement: [Kensington and Chelsea, contains, Earl's Court]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Earl's Court Context triple: [Kensington and Chelsea, contains, Earl's Court]
-
A.
Hammersmith
Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
-
B.
Clapham
Clapham is a district in south-west London, England, known historically as a residential suburb and for its large common and Georgian architecture.
-
C.
Battersea
Battersea is a district in the London Borough of Wandsworth, known for its riverside location along the Thames, Battersea Power Station, and Battersea Park.
-
D.
Kensington Market
Kensington Market is a vibrant, historically multicultural neighborhood in Toronto known for its eclectic shops, diverse food offerings, and bohemian street culture.
-
E.
Kensington
chosen
Kensington is a district in West London, England, known for its affluent residential areas, cultural institutions, and royal associations.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b47b58ec81908d95f151b9af3dae |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1c8c828481909013039009446dc0 |
completed | March 8, 2026, 6:51 a.m. |
Created at: March 1, 2026, 7:40 p.m.