Triple
T26111699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurontario Street |
E658714
|
entity |
| Predicate | hasTransitProject |
P29306
|
FINISHED |
| Object | Hazel McCallion Line |
—
|
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: Hazel McCallion Line | Statement: [Hurontario Street, hasTransitProject, Hazel McCallion Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransitProject Context triple: [Hurontario Street, hasTransitProject, Hazel McCallion Line]
-
A.
hasMetroOrTransitProject
chosen
Indicates that there exists a metro or public transit project associated with, planned for, or implemented by the referenced entity.
-
B.
plannedTransportProject
Indicates that there is a transport-related project that has been conceived and scheduled but not yet implemented.
-
C.
hasTransitAccessTo
Indicates that one place or entity is reachable from another via public or shared transportation services.
-
D.
hasParallelTransit
Indicates that one transit route, service, or segment runs in parallel to another along a similar path or corridor.
-
E.
hasTransitFocus
Indicates that something is oriented toward, prioritizes, or is primarily concerned with transit or transportation services.
- F. None of above.
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_69ee5bc20298819099a42be042eb2349 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 26, 2026, 8:02 p.m.