Triple
T9094133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cockspur Street |
E217970
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | Regent Street |
E52433
|
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: Regent Street | Statement: [Cockspur Street, hasJunctionWith, Regent Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regent Street Context triple: [Cockspur Street, hasJunctionWith, Regent Street]
-
A.
Regent Street
chosen
Regent Street is a major shopping and commercial thoroughfare in London’s West End, renowned for its elegant architecture and flagship retail stores.
-
B.
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.
-
C.
Marylebone Road
Marylebone Road is a major thoroughfare in central London, known for its heavy traffic and proximity to notable institutions and landmarks.
-
D.
Tottenham Court Road
Tottenham Court Road is a major shopping and entertainment street in central London, known for its electronics stores, proximity to the West End, and busy Underground station.
-
E.
Gough Street
Gough Street is a major north–south thoroughfare in San Francisco, California, running through neighborhoods such as Hayes Valley and connecting key parts of the city.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b4a2e0819092f4eae8b1d21f33 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1077a9cb0819086996b4930a44a93 |
completed | April 4, 2026, 12:43 p.m. |
Created at: March 30, 2026, 7:14 p.m.