Triple
T1818317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marylebone |
E40485
|
entity |
| Predicate | hasMainRoad |
P385
|
FINISHED |
| Object | Oxford Street |
E78234
|
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 Street | Statement: [Marylebone, hasMainRoad, Oxford Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxford Street Context triple: [Marylebone, hasMainRoad, Oxford Street]
-
A.
Oxford Street
chosen
Oxford Street is one of London’s busiest and most famous shopping streets, known for its major retail stores and central West End location.
-
B.
Oxford Street
Oxford Street is a major thoroughfare in central Manchester, England, known for its theatres, entertainment venues, and busy city-centre traffic.
-
C.
Marylebone High Street
Marylebone High Street is a prominent central London shopping street known for its mix of upscale boutiques, independent shops, cafés, and restaurants in the Marylebone district.
-
D.
Regent Street
Regent Street is a major shopping and commercial thoroughfare in London’s West End, renowned for its elegant architecture and flagship retail stores.
-
E.
Cannon Street
Cannon Street is a major road in the City of London known for its financial district location, railway station, and proximity to landmarks such as St Paul’s Cathedral and the River Thames.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65f8c4e48190925aec9916dd6c30 |
completed | March 6, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae651f8f38819089fb40e7bb3dc2cb |
completed | March 9, 2026, 6:13 a.m. |
Created at: March 4, 2026, 7:32 p.m.