Triple
T30641151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roncesvalles Avenue |
E779981
|
entity |
| Predicate | hasTransitRoute |
P34620
|
FINISHED |
| Object | Toronto streetcar route 504 King |
—
|
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: Toronto streetcar route 504 King | Statement: [Roncesvalles Avenue, hasTransitRoute, Toronto streetcar route 504 King]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransitRoute Context triple: [Roncesvalles Avenue, hasTransitRoute, Toronto streetcar route 504 King]
-
A.
hasTransportRoute
Indicates that there exists a designated transportation connection or route linking one entity to another.
-
B.
hasPublicTransitRoute
chosen
Indicates that there exists a public transportation route (such as a bus, train, or tram line) connecting or serving the related entities.
-
C.
hasTransitAccessTo
Indicates that one place or entity is reachable from another via public or shared transportation services.
-
D.
hasTransitServiceType
Indicates that a transit service is associated with a specific type or category of service (e.g., bus, rail, express).
-
E.
isPublicTransportRoute
Indicates that a given route is designated and operated as part of a public transportation system available for general use.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe8f74748c8190bd14a856c057f9f7 |
completed | May 9, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69fe8e7ed8088190929e0df67aca4de9 |
completed | May 9, 2026, 1:31 a.m. |
Created at: April 29, 2026, 8:29 p.m.