Triple
T6623132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Borough of Ealing |
E149725
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Southall |
E403076
|
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: Southall | Statement: [London Borough of Ealing, contains, Southall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southall Context triple: [London Borough of Ealing, contains, Southall]
-
A.
Southall
chosen
Southall is a suburban district in West London, England, known for its large South Asian community and vibrant multicultural atmosphere.
-
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.
Harlesden
Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
-
D.
Hammersmith
Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
-
E.
Brixton
Brixton is a vibrant district in south London known for its multicultural community, lively markets, music scene, and significant role in Black British culture.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7decb08190a7b1ddb95e534a6a |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75813e4488190b2067541ec86d722 |
completed | March 28, 2026, 4:24 a.m. |
Created at: March 27, 2026, 1:58 p.m.