Triple

T851221
Position Surface form Disambiguated ID Type / Status
Subject Pink Line E18388 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: [Pink Line, fareSystem, Ventra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ventra
Context triple: [Pink Line, 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac22de288190913714d41e5a8e12 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3bd8b588190b7a9eb72dce93d07 completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:38 p.m.