Triple

T4393620
Position Surface form Disambiguated ID Type / Status
Subject 54th/Cermak E99426 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: [54th/Cermak, fareSystem, Ventra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ventra
Context triple: [54th/Cermak, fareSystem, Ventra]
  • A. Ventra chosen
    Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
  • B. Hertz
    Hertz is a German surname most famously associated with physicist Heinrich Hertz, after whom the unit of frequency is named.
  • C. Hertz
    Hertz is one of the concert halls within the TivoliVredenburg music complex in Utrecht, known for hosting a variety of live performances and cultural events.
  • D. Terminal 4S
    Terminal 4S is the satellite terminal of Madrid’s Adolfo Suárez Madrid–Barajas Airport, primarily serving international and long-haul flights with modern, high-capacity facilities.
  • E. Electric Now
    Electric Now is a streaming and digital content platform operated by Electric Entertainment, featuring the company’s film and television properties.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352a8862481909dc67abf42be6928 completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b65f2db8908190ba0f5b5ba1a75bef completed March 15, 2026, 7:26 a.m.
Created at: March 12, 2026, 11:19 p.m.