Triple
T7480285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berwick Street |
E176736
|
entity |
| Predicate | hasNearby |
P350
|
FINISHED |
| Object | Wardour Street |
E175410
|
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: Wardour Street | Statement: [Berwick Street, hasNearby, Wardour Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wardour Street Context triple: [Berwick Street, hasNearby, Wardour Street]
-
A.
Wardour Street
chosen
Wardour Street is a well-known street in London’s Soho district, historically associated with the film industry, music venues, and vibrant nightlife.
-
B.
Marylebone Road
Marylebone Road is a major thoroughfare in central London, known for its heavy traffic and proximity to notable institutions and landmarks.
-
C.
Curzon Street
Curzon Street is a prestigious street in London’s Mayfair district, known for its historic architecture, embassies, and exclusive residences.
-
D.
Gower Street
Gower Street is a major north–south thoroughfare in Hollywood, Los Angeles, known for running through the heart of the entertainment district near numerous studios and landmarks.
-
E.
Gower Street
Gower Street is a major thoroughfare in central London’s Bloomsbury district, known for its concentration of University College London buildings and other academic institutions.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f532f4488190b6edaa96099c3b8f |
completed | March 27, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8682f438c8190bca55f7773fe6838 |
completed | March 28, 2026, 11:45 p.m. |
Created at: March 27, 2026, 3:42 p.m.