Triple
T12408781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitechapel station |
E296458
|
entity |
| Predicate | isOnStreet |
P20522
|
FINISHED |
| Object | Whitechapel Road |
E630585
|
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: Whitechapel Road | Statement: [Whitechapel station, isOnStreet, Whitechapel Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitechapel Road Context triple: [Whitechapel station, isOnStreet, Whitechapel Road]
-
A.
Whitechapel Road
chosen
Whitechapel Road is a major historic street in East London, known for its bustling markets, diverse communities, and proximity to sites associated with the Jack the Ripper murders.
-
B.
Edgware Road
Edgware Road is a major thoroughfare in northwest London known for its diverse communities, Middle Eastern restaurants, and role as a key route into central London.
-
C.
London Road
London Road is a major thoroughfare in Glasgow, Scotland, running through the Parkhead area and serving as a key route in the city's east end.
-
D.
London Road
London Road is a major thoroughfare in Southend-on-Sea, England, known for its mix of shops, entertainment venues, and local businesses.
-
E.
London Road
London Road is a main shopping street in Enfield Town, featuring a variety of retail stores and local businesses.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d4a08e0819085c656e35038e6b2 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63488cac08190a81b2151c827932e |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.