Triple
T22044066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stranmillis Road |
E544714
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | University 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: University Road | Statement: [Stranmillis Road, connectsTo, University Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University Road Context triple: [Stranmillis Road, connectsTo, University Road]
-
A.
University Road
University Road is a major thoroughfare in Yaba, Lagos, known for serving the area’s educational institutions and commercial activities.
-
B.
University Road
chosen
University Road is a major thoroughfare in Belfast, Northern Ireland, known for running through the city’s university quarter and serving institutions such as Queen’s University Belfast.
-
C.
College Road
College Road is a street in Harrow, London, that serves as a key access route to Harrow-on-the-Hill railway station.
-
D.
Oxford Road
Oxford Road is a major thoroughfare in Manchester, England, known for its concentration of university buildings, cultural institutions, and transport links.
-
E.
Oxford Road
Oxford Road is a major commercial street in New Kingston, Jamaica, lined with offices, hotels, and retail businesses.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1282d5bb08190849d5084962bf3a5 |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:25 p.m.