Triple
T38425084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skyway O&M Corporation |
E903335
|
entity |
| Predicate | hasTollCollectionRole |
P195300
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Skyway O&M Corporation, hasTollCollectionRole, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTollCollectionRole Context triple: [Skyway O&M Corporation, hasTollCollectionRole, yes]
-
A.
operatesTollSystem
Indicates that an entity is responsible for running and managing a toll collection system.
-
B.
hasTollAgency
Indicates that a transportation facility or route is operated, managed, or overseen by a specific toll-collecting agency.
-
C.
hasToll
Indicates that the use, access, or passage associated with something requires payment of a toll or fee.
-
D.
hasTollRevenuesFrom
Indicates that one entity receives toll-generated revenue originating from another entity or source.
-
E.
tollCollectionSide
Indicates on which side (e.g., entry or exit, or direction of travel) a toll is collected in relation to a roadway or tolling point.
- F. None of above. chosen
Provenance (4 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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
| PDg | Predicate description generation | batch_69fdb4544b548190b8971f8055d48caa |
completed | May 8, 2026, 10 a.m. |
Created at: May 3, 2026, 4:31 p.m.