Triple
T30291348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Ontario transportation network |
E770382
|
entity |
| Predicate | includesTransitAgency |
P20657
|
FINISHED |
| Object | Metrolinx |
—
|
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: Metrolinx | Statement: [Southern Ontario transportation network, includesTransitAgency, Metrolinx]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesTransitAgency Context triple: [Southern Ontario transportation network, includesTransitAgency, Metrolinx]
-
A.
hasTransitAgencyUrl
Indicates that a transit agency is associated with a specific official website URL.
-
B.
transitAgencyType
Indicates the classification or category of a transit agency based on the type of transportation services it provides.
-
C.
hasPublicTransportAgency
chosen
Indicates that a place or transport system is served, managed, or overseen by a specific public transportation agency.
-
D.
appliesToTransitSystem
Indicates that something (such as a rule, policy, feature, or condition) is relevant or applicable to a particular transit or transportation system.
-
E.
associatedWithTransitSystem
Indicates that an entity has a connection or involvement with a particular transit or transportation system.
- 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_69f224875c288190a9b96b975006ec4a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0064f8efa48190956287f548a8057d |
completed | May 10, 2026, 10:59 a.m. |
| PD | Predicate disambiguation | batch_6a006471e75c8190adae99bd75e7411b |
completed | May 10, 2026, 10:56 a.m. |
Created at: April 29, 2026, 7:47 p.m.