Triple
T30183131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrobus routes |
E767258
|
entity |
| Predicate | operatingAgencyType |
P120763
|
FINISHED |
| Object | public transit agency |
—
|
LITERAL FINISHED |
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: public transit agency | Statement: [Metrobus routes, operatingAgencyType, public transit agency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatingAgencyType Context triple: [Metrobus routes, operatingAgencyType, public transit agency]
-
A.
managingAgencyAbbreviation
Indicates that one entity is identified by the abbreviated name of the agency responsible for managing or overseeing it.
-
B.
transitAgencyType
chosen
Indicates the classification or category of a transit agency based on the type of transportation services it provides.
-
C.
regulatingAgency
Indicates that one entity serves as the official authority responsible for overseeing, controlling, or enforcing rules and standards on another entity or activity.
-
D.
agencyTypeOfOperator
Indicates the specific type or category of agency to which the operator belongs or by which the operator is characterized.
-
E.
mainImplementingAgency
Indicates which agency has primary responsibility for implementing a given project, program, or policy.
- 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff49016dcc8190a8a43868c728b4f1 |
completed | May 9, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69ff4891924c8190b5be340e2520e012 |
completed | May 9, 2026, 2:45 p.m. |
Created at: April 29, 2026, 7:26 p.m.