Triple

T54838
Position Surface form Disambiguated ID Type / Status
Subject Portland Streetcar E1081 entity
Predicate connectsWith P37 FINISHED
Object MAX Light Rail E17464 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: MAX Light Rail | Statement: [Portland Streetcar, connectsWith, MAX Light Rail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAX Light Rail
Context triple: [Portland Streetcar, connectsWith, MAX Light Rail]
  • A. MAX Light Rail chosen
    MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
  • B. Pink Line
    The Pink Line is a rapid transit route in Chicago's "L" system that runs between the Loop and the city's West Side neighborhoods.
  • C. Metro B Line
    The Metro B Line is a heavy rail subway line in Los Angeles that runs through central and Hollywood areas as part of the LA Metro Rail system.
  • D. Los Angeles Metro Rail
    Los Angeles Metro Rail is a rapid transit system serving Los Angeles County, California, consisting of multiple light rail and subway lines that connect key neighborhoods, business districts, and regional destinations.
  • E. Portland Streetcar
    Portland Streetcar is a modern urban streetcar transit system serving central Portland, Oregon, connecting key neighborhoods, employment centers, and educational institutions.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b06c5488190afb5429a7999e3f3 completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d0beb4e0819094f538cfb51c1cb6 completed Feb. 28, 2026, 11:25 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.