Triple

T11970900
Position Surface form Disambiguated ID Type / Status
Subject Texas State Highway 130 E284915 entity
Predicate hasTollingSystem P73181 FINISHED
Object TxTag E256092 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: TxTag | Statement: [Texas State Highway 130, hasTollingSystem, TxTag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TxTag
Context triple: [Texas State Highway 130, hasTollingSystem, TxTag]
  • A. TxTag chosen
    TxTag is an electronic toll collection system used on Texas toll roads that allows drivers to pay tolls automatically without stopping.
  • B. TXN
    TXN is the stock ticker symbol for Texas Instruments Incorporated, a major American technology company known for designing and manufacturing semiconductors and integrated circuits.
  • C. 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.
  • D. EZ TAG
    EZ TAG is an electronic toll collection system used on certain Texas toll roads that allows drivers to pay tolls automatically without stopping.
  • E. TollTag
    TollTag is an electronic toll collection system used on North Texas toll roads, allowing drivers to pay tolls automatically without stopping.
  • 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: hasTollingSystem
Context triple: [Texas State Highway 130, hasTollingSystem, TxTag]
  • A. typeOfTollSystem chosen
    Indicates the specific kind or category of toll collection system used in a given context.
  • B. operatesTollSystem
    Indicates that an entity is responsible for running and managing a toll collection system.
  • C. hasTollBoothsAt
    Indicates that toll booths are present at or associated with a particular location or segment of infrastructure.
  • D. hasToll
    Indicates that the use, access, or passage associated with something requires payment of a toll or fee.
  • E. 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.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037d32e88190b1509285dc907d29 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459691ff0819099282172933d2d81 completed May 1, 2026, 7:42 a.m.
PD Predicate disambiguation batch_69d8bb40f30c8190a0e0719bd67542bf completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:46 p.m.