Triple
T26717011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koreatown, Toronto |
E673593
|
entity |
| Predicate | majorIntersection |
P37486
|
FINISHED |
| Object | Bathurst Street |
—
|
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: Bathurst Street | Statement: [Koreatown, Toronto, majorIntersection, Bathurst Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorIntersection Context triple: [Koreatown, Toronto, majorIntersection, Bathurst Street]
-
A.
isMajorRoadJunction
chosen
Indicates that a location serves as a primary intersection where major roads or highways meet or cross.
-
B.
mainRoadCrossingBetween
Indicates that a primary or main road intersects or passes between two specified locations or entities.
-
C.
isMajorInterchangeFor
Indicates that one location functions as a primary hub where multiple routes or lines connect or transfer between each other for another location.
-
D.
hasMajorRailCrossing
Indicates that there is a significant railway crossing (such as a major rail line intersecting a road or another transport route) at or associated with the referenced location or entity.
-
E.
isMajorTrafficRoute
Indicates that a road or pathway serves as a primary, heavily used route for traffic flow within a transportation network.
- 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_69eecda3a22881908f3061c760b9d542 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 27, 2026, 3:38 a.m.