Triple

T779194
Position Surface form Disambiguated ID Type / Status
Subject Blue Line (CTA) E16457 entity
Predicate fareSystem P395 FINISHED
Object Ventra E1909 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: Ventra | Statement: [Blue Line (CTA), fareSystem, Ventra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ventra
Context triple: [Blue Line (CTA), fareSystem, Ventra]
  • A. Ventra chosen
    Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
  • B. CHAdeMO
    CHAdeMO is a fast-charging standard for electric vehicles, originally developed in Japan and widely used for DC rapid charging, particularly by early Nissan and Mitsubishi EV models.
  • C. Byfleet
    Byfleet is a village and former civil parish in southeast England, situated within the county of Surrey.
  • D. The Battery
    The Battery is a historic defensive seawall and promenade in Charleston, South Carolina, famed for its antebellum homes and views of Charleston Harbor and Fort Sumter.
  • E. Orange Garage
    Orange Garage is a multi-level parking facility serving visitors to the Disney Springs shopping, dining, and entertainment district at Walt Disney World Resort in Florida.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a74f886081909c27b786e3adbe32 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d9dd9b48190ba7fae75db01c114 completed March 3, 2026, 5:11 a.m.
Created at: March 1, 2026, 7:37 p.m.