Triple

T17809750
Position Surface form Disambiguated ID Type / Status
Subject Hardy Toll Road E444665 entity
Predicate electronicTollSystem P395 FINISHED
Object EZ TAG NE NERFINISHED

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: EZ TAG | Statement: [Hardy Toll Road, electronicTollSystem, EZ TAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EZ TAG
Context triple: [Hardy Toll Road, electronicTollSystem, EZ TAG]
  • A. EZ TAG chosen
    EZ TAG is an electronic toll collection system used on certain Texas toll roads that allows drivers to pay tolls automatically without stopping.
  • B. 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.
  • C. TollTag
    TollTag is an electronic toll collection system used on North Texas toll roads, allowing drivers to pay tolls automatically without stopping.
  • D. Toe Tag
    "Toe Tag" is a song by the rapper Freddie Gibbs, known for its gritty lyrics and hard-hitting production.
  • E. TxTag
    TxTag is an electronic toll collection system used on Texas toll roads that allows drivers to pay tolls automatically without stopping.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887a50488190b9c148146ec607e6 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.