Triple

T7322095
Position Surface form Disambiguated ID Type / Status
Subject Maywood station E168574 entity
Predicate ticketing P395 FINISHED
Object Metra ticketing system E486843 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: Metra ticketing system | Statement: [Maywood station, ticketing, Metra ticketing system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metra ticketing system
Context triple: [Maywood station, ticketing, Metra ticketing system]
  • A. Metra ticket office chosen
    The Metra ticket office is a staffed sales and customer service counter where passengers can purchase Metra train tickets and obtain travel information.
  • B. Metra
    Metra is the commuter rail system serving the Chicago metropolitan area, operating extensive routes that connect the city with its surrounding suburbs.
  • C. MARC fare system
    The MARC fare system is the ticketing and pricing structure used by Maryland's MARC commuter rail service for travel across its network.
  • D. MetroRide
    MetroRide is a free downtown Denver circulator bus service providing frequent, short-distance connections within the city center.
  • E. Metra at Jefferson Park
    Metra at Jefferson Park is a commuter rail station in Chicago’s Jefferson Park neighborhood that serves as a key transfer point between Metra trains and CTA transit services.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6f041f4a88190b85cff1ee5f9a6d0 completed March 27, 2026, 9:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef0609dc81909f298d3963fc88af completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:03 p.m.