Triple
T3686373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford Street |
E78234
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Oxford Road |
E16589
|
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: Oxford Road | Statement: [Oxford Street, formerName, Oxford Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxford Road Context triple: [Oxford Street, formerName, Oxford Road]
-
A.
Oxford Road
chosen
Oxford Road is a major thoroughfare in Manchester, England, known for its concentration of university buildings, cultural institutions, and transport links.
-
B.
West Road
West Road is a street in Cambridge, England, known for housing the University of Cambridge’s West Road Concert Hall and several academic institutions.
-
C.
Gloucester Road
Gloucester Road is a major street and London Underground station area in West London, known for its proximity to museums, shops, and residential neighborhoods in Kensington.
-
D.
Cromwell Road
Cromwell Road is a major thoroughfare in the Royal Borough of Kensington and Chelsea in west London, known for its museums, hotels, and heavy traffic connecting central London to the west.
-
E.
Talbot Road
Talbot Road is a main street in Blackpool, England, known for its shops, businesses, and proximity to key transport links and the town centre.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c676748190b074abfb9ba43b49 |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf185542508190ad71b753bda5d1a3 |
completed | March 21, 2026, 10:14 p.m. |
Created at: March 8, 2026, 3:26 p.m.