Triple
T5848144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soho Square |
E129762
|
entity |
| Predicate | hasNearbyStreet |
P8235
|
FINISHED |
| Object | Soho Street |
E522037
|
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: Soho Street | Statement: [Soho Square, hasNearbyStreet, Soho Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soho Street Context triple: [Soho Square, hasNearbyStreet, Soho Street]
-
A.
Soho Street
chosen
Soho Street is a central London street in the Soho district, known for its proximity to major shopping and entertainment areas around Oxford Street.
-
B.
Gerrard Street
Gerrard Street is the central thoroughfare of London’s Chinatown, known for its dense concentration of Chinese restaurants, supermarkets, and cultural landmarks.
-
C.
Magdalen Street
Magdalen Street is a central street in Oxford, England, known for its shops, historic buildings, and proximity to major city landmarks.
-
D.
Mortimer Street
Mortimer Street is a central London street in the Fitzrovia area, known for its mix of historic and modern buildings, offices, and medical facilities.
-
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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03512d3548190920ac882189500d9 |
completed | March 22, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d62cce008190ae269bbd289625a0 |
completed | April 18, 2026, 12:54 a.m. |
Created at: March 22, 2026, 3:55 p.m.