Triple

T26907606
Position Surface form Disambiguated ID Type / Status
Subject Bay Area Express Lanes E677297 entity
Predicate hasTollType P3913 FINISHED
Object dynamic pricing 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: dynamic pricing | Statement: [Bay Area Express Lanes, hasTollType, dynamic pricing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTollType
Context triple: [Bay Area Express Lanes, hasTollType, dynamic pricing]
  • A. hasToll
    Indicates that the use, access, or passage associated with something requires payment of a toll or fee.
  • B. hasTollVariant
    Indicates that an entity has a version or instance that requires paying a toll or fee for use or access.
  • C. hasTollSegment
    Indicates that a route, road, or path includes a segment where a toll must be paid.
  • D. tollingType chosen
    Indicates the specific method or basis by which a toll, fee, or charge is applied or calculated in a given context.
  • E. appliesTollTo
    Indicates that a fee or charge is imposed on a subject for using, accessing, or passing through something.
  • F. None of above.

Provenance (3 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_69eee9bcef1c8190be88586bb902bb9b completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f6b49436b0819094e21603054d05d4 completed May 3, 2026, 2:36 a.m.
PD Predicate disambiguation batch_69f6b3a5fd8481909433e923c5e24e55 completed May 3, 2026, 2:32 a.m.
Created at: April 27, 2026, 6 a.m.