Triple

T10848990
Position Surface form Disambiguated ID Type / Status
Subject North Texas Tollway Authority E256089 entity
Predicate operatesTollSystem P96059 FINISHED
Object TollTag E256091 NE FINISHED

How this triple was built (3 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: TollTag | Statement: [North Texas Tollway Authority, operatesTollSystem, TollTag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TollTag
Context triple: [North Texas Tollway Authority, operatesTollSystem, TollTag]
  • A. TollTag chosen
    TollTag is an electronic toll collection system used on North Texas toll roads, allowing drivers to pay tolls automatically without stopping.
  • B. Electronic Toll Collection (FASTag)
    Electronic Toll Collection (FASTag) is a nationwide RFID-based system in India that enables automatic, cashless toll payments on highways by linking a prepaid tag on vehicles to users’ bank accounts or wallets.
  • C. E-ZPass
    E-ZPass is an electronic toll collection system widely used on highways and bridges across the eastern United States, allowing drivers to pay tolls automatically without stopping.
  • D. K-TAG
    K-TAG is an electronic toll collection system used on the Kansas Turnpike and compatible highways, allowing drivers to pay tolls automatically via a windshield-mounted transponder.
  • E. FasTrak
    FasTrak is an electronic toll collection system used on bridges, roads, and express lanes throughout California.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatesTollSystem
Context triple: [North Texas Tollway Authority, operatesTollSystem, TollTag]
  • A. typeOfTollSystem
    Indicates the specific kind or category of toll collection system used in a given context.
  • B. hasTollBoothsAt
    Indicates that toll booths are present at or associated with a particular location or segment of infrastructure.
  • C. isTollFacilityOf
    Indicates that a facility (such as a toll booth, plaza, or gantry) is part of, or used to collect tolls for, a specific toll road or toll transportation infrastructure.
  • D. tollingType
    Indicates the specific method or basis by which a toll, fee, or charge is applied or calculated in a given context.
  • E. tollingAuthority
    Indicates the entity that has the authority to impose, collect, or manage a toll on a given route, facility, or service.
  • F. None of above. chosen

Provenance (5 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75114ca988190a0e730131adb2df0 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb170e714819097babb2b850342d2 completed April 14, 2026, 9:28 p.m.
PD Predicate disambiguation batch_69d70d2b51448190bae748ed6c23edde completed April 9, 2026, 2:21 a.m.
PDg Predicate description generation batch_69d7101c96708190808fef73199e8482 completed April 9, 2026, 2:34 a.m.
Created at: April 8, 2026, 9:20 p.m.