Triple
T17028902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leyton |
E413137
|
entity |
| Predicate | partOfRegion |
P285
|
FINISHED |
| Object | East End of London |
E110844
|
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: East End of London | Statement: [Leyton, partOfRegion, East End of London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: East End of London Context triple: [Leyton, partOfRegion, East End of London]
-
A.
East End of London
chosen
The East End of London is a historically working-class, culturally diverse area of London known for its industrial past, docklands, and strong local identity.
-
B.
East End
East End is a historic, predominantly Hispanic neighborhood in eastern Houston known for its industrial roots, rail infrastructure, and ongoing urban revitalization.
-
C.
East End
East End is a small hamlet forming part of the rural village of Swerford in Oxfordshire, England.
-
D.
East End
East End is a quiet, less-developed district on the eastern side of Grand Cayman known for its rugged coastline, diving spots, and more laid-back, local atmosphere.
-
E.
East End
East End is a historically working-class and culturally diverse area of London, known for its industrial past, immigrant communities, and role in the city’s social and economic history.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d858448190acfe81f10d83ed4b |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b553c588190b46785b85142dce5 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.