Triple

T9079096
Position Surface form Disambiguated ID Type / Status
Subject Pennsylvania Turnpike E217567 entity
Predicate usesTollCollectionSystem P73181 FINISHED
Object E-ZPass E54620 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: E-ZPass | Statement: [Pennsylvania Turnpike, usesTollCollectionSystem, E-ZPass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E-ZPass
Context triple: [Pennsylvania Turnpike, usesTollCollectionSystem, E-ZPass]
  • A. E-ZPass chosen
    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.
  • B. FasTrak
    FasTrak is an electronic toll collection system used on bridges, roads, and express lanes throughout California.
  • C. SunPass
    SunPass is Florida’s statewide electronic toll collection system used on many of the state’s toll roads, bridges, and express lanes.
  • D. TollTag
    TollTag is an electronic toll collection system used on North Texas toll roads, allowing drivers to pay tolls automatically without stopping.
  • E. Clipper card
    The Clipper card is a reloadable contactless smart card used to pay fares across multiple public transit systems in the San Francisco Bay Area.
  • 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: usesTollCollectionSystem
Context triple: [Pennsylvania Turnpike, usesTollCollectionSystem, E-ZPass]
  • A. typeOfTollSystem chosen
    Indicates the specific kind or category of toll collection system used in a given context.
  • B. hasToll
    Indicates that the use, access, or passage associated with something requires payment of a toll or fee.
  • C. appliesTollTo
    Indicates that a fee or charge is imposed on a subject for using, accessing, or passing through something.
  • D. hasTollBoothsAt
    Indicates that toll booths are present at or associated with a particular location or segment of infrastructure.
  • E. tollingType
    Indicates the specific method or basis by which a toll, fee, or charge is applied or calculated in a given context.
  • F. None of above.

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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c93ee48190842623b57e50f4cf completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe2103448190bbc09436f19c4f11 completed April 3, 2026, 5:51 p.m.
PD Predicate disambiguation batch_69cc65fa79bc81908b46f05c8bba920f completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:12 p.m.