Triple
T12930630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leaside Bridge |
E309367
|
entity |
| Predicate | carries |
P1393
|
FINISHED |
| Object | Millwood 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: Millwood Road | Statement: [Leaside Bridge, carries, Millwood Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Millwood Road Context triple: [Leaside Bridge, carries, Millwood Road]
-
A.
Millwood Road
chosen
Millwood Road is a major street in Toronto, Ontario, that runs through and defines the eastern edge of the Thorncliffe Park neighbourhood.
-
B.
Ridgefield Road
Ridgefield Road is a local roadway in Dale City, Virginia, serving residential neighborhoods and connecting them to the broader local street network.
-
C.
Blumentritt Road
Blumentritt Road is a major thoroughfare in Manila, Philippines, known for its busy commercial areas, transport links, and proximity to the Blumentritt railway station.
-
D.
Brimley Road
Brimley Road is a major north–south arterial street in Toronto, Ontario, running through neighborhoods such as Agincourt in the city's east end.
-
E.
Woodhaven Road
Woodhaven Road is a key multilane thoroughfare in Northeast Philadelphia that connects residential neighborhoods with major highways and commercial areas.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97245b6408190816d9b7e314eb51a |
completed | April 10, 2026, 9:57 p.m. |
Created at: April 9, 2026, 5:42 p.m.