Triple

T94942
Position Surface form Disambiguated ID Type / Status
Subject Ventra E1909 entity
Predicate usedOn P2367 FINISHED
Object CTA rail system E409 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: CTA rail system | Statement: [Ventra, usedOn, CTA rail system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CTA rail system
Context triple: [Ventra, usedOn, CTA rail system]
  • A. Chicago Transit Authority chosen
    The Chicago Transit Authority is the primary public transportation agency serving Chicago and several surrounding suburbs, operating the city’s extensive network of buses and rapid transit trains.
  • B. Chicago Surface Lines
    Chicago Surface Lines was a privately operated streetcar and bus system that provided most of Chicago’s surface public transportation in the first half of the 20th century.
  • C. AeroTrain
    AeroTrain is an automated underground people mover system that transports passengers between terminals at Washington Dulles International Airport.
  • D. C-TRAN
    C-TRAN is the public transit agency serving Clark County and the Vancouver, Washington area, providing bus and express services often coordinated with Portland’s TriMet system.
  • E. New York City Subway
    The New York City Subway is one of the world’s largest and busiest rapid transit systems, serving the five boroughs of New York City with extensive 24/7 underground and elevated rail service.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24fd4777c81909ea9b9a6bd4f7ad5 completed Feb. 28, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a27c030ddc8190af2ebb672237bf18 completed Feb. 28, 2026, 5:24 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.