Triple
T32205056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | exo Laurentides |
E822645
|
entity |
| Predicate | operatesBusRoutesIn |
P66902
|
FINISHED |
| Object | Laurentides |
—
|
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: Laurentides | Statement: [exo Laurentides, operatesBusRoutesIn, Laurentides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesBusRoutesIn Context triple: [exo Laurentides, operatesBusRoutesIn, Laurentides]
-
A.
operatedRoutes
Indicates that an agent (such as a company or organization) runs or manages specific routes, typically providing services along those paths.
-
B.
operatesInterurbanBusServices
Indicates that an entity runs or manages bus transportation services operating between different towns or cities within a region.
-
C.
operatesSchoolBuses
Indicates that an entity is responsible for running or managing the operation of school bus services for transporting students.
-
D.
operatesPublicServiceObligationRoutesIn
chosen
Indicates that an entity runs or manages transportation routes that are designated as public service obligations within a specified area or jurisdiction.
-
E.
operatesLongHaulRouteFrom
Indicates that an entity (typically a transportation carrier) runs long-distance routes originating from a specified location.
- 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_69f349093174819086e633c190a51aa8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fffc783b648190bcd7df017514d206 |
completed | May 10, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69fffc03fa24819099e12413dc6e0afd |
completed | May 10, 2026, 3:31 a.m. |
Created at: May 1, 2026, 12:36 a.m.