Triple
T15593186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilmslow Road |
E374799
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Oxford Road |
—
|
NE NERFINISHED |
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: [Wilmslow Road, connectsTo, Oxford Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxford Road Context triple: [Wilmslow Road, connectsTo, 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.
Oxford Road
Oxford Road is a major thoroughfare in Johannesburg, South Africa, known for connecting key suburbs and serving as an important commuter and commercial route.
-
C.
Oxford Road
Oxford Road is a major commercial street in New Kingston, Jamaica, lined with offices, hotels, and retail businesses.
-
D.
Oxford Road
Oxford Road is a major thoroughfare in Reading, Berkshire, known for its mix of residential, commercial, and historic buildings.
-
E.
Coventry Road
Coventry Road is a location featured in the plot of George Farquhar’s Restoration comedy "The Beaux' Stratagem."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5e43d48190a8fd367f13f1c7e1 |
completed | April 16, 2026, 2:50 a.m. |
Created at: April 10, 2026, 4:12 a.m.