Triple

T1562392
Position Surface form Disambiguated ID Type / Status
Subject Richmond–San Rafael Bridge E33354 entity
Predicate tollSystem P3913 FINISHED
Object FasTrak E172508 NE 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: FasTrak | Statement: [Richmond–San Rafael Bridge, tollSystem, FasTrak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FasTrak
Context triple: [Richmond–San Rafael Bridge, tollSystem, FasTrak]
  • A. FasTrak chosen
    FasTrak is an electronic toll collection system used on bridges, roads, and express lanes throughout California.
  • B. 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.
  • C. TEXpress Lanes
    TEXpress Lanes are a network of dynamically priced managed toll lanes in North Texas designed to reduce congestion and provide faster travel options alongside existing highways.
  • D. Bay Area Toll Authority
    The Bay Area Toll Authority is a regional agency responsible for overseeing toll collection and financing for the network of state-owned toll bridges in the San Francisco Bay Area.
  • 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.

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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908886efc8190a630ef1e06d0d9cb completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad37151ad48190a8c25899b488c68b completed March 8, 2026, 8:45 a.m.
Created at: March 4, 2026, 7:27 p.m.