Triple
T24965136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eglinton GO Station |
E624719
|
entity |
| Predicate | connectingTransitAgency |
P20657
|
FINISHED |
| Object | Toronto Transit Commission |
—
|
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 Transit Commission | Statement: [Eglinton GO Station, connectingTransitAgency, Toronto Transit Commission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectingTransitAgency Context triple: [Eglinton GO Station, connectingTransitAgency, Toronto Transit Commission]
-
A.
associatedWithTransitSystem
Indicates that an entity has a connection or involvement with a particular transit or transportation system.
-
B.
transitAgencyType
Indicates the classification or category of a transit agency based on the type of transportation services it provides.
-
C.
associatedWithTransitLine
Indicates that an entity has a connection or linkage to a specific transit line, such as being part of, served by, or otherwise related to that line.
-
D.
hasPublicTransportAgency
chosen
Indicates that a place or transport system is served, managed, or overseen by a specific public transportation agency.
-
E.
transportAuthorityType
Indicates the specific kind or category of authority responsible for overseeing or regulating transportation.
- 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 18, 2026, 6 a.m.