Triple

T2208165
Position Surface form Disambiguated ID Type / Status
Subject Pace fare system E50850 entity
Predicate integratedWith P2830 FINISHED
Object Ventra fare system 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 fare system | Statement: [Pace fare system, integratedWith, Ventra fare system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ventra fare system
Context triple: [Pace fare system, integratedWith, Ventra fare system]
  • A. Ventra chosen
    Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
  • B. Tesla in-car operating system
    Tesla in-car operating system is the proprietary software platform that powers Tesla vehicles’ central touchscreen interface, navigation, media, and vehicle controls, integrating driving functions with entertainment and connectivity features.
  • C. FasTrak
    FasTrak is an electronic toll collection system used on bridges, roads, and express lanes throughout California.
  • D. iBOT mobility system
    The iBOT mobility system is an advanced powered wheelchair that uses gyroscopic technology to climb stairs, elevate users to standing height, and navigate challenging terrain.
  • E. 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.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfcd53b88190991961f103a3e09a completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae654e22b48190bb40f7c61bb359b1 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.