Triple

T8599570
Position Surface form Disambiguated ID Type / Status
Subject Metrolink (Southern California) E203639 entity
Predicate hasLine P35 FINISHED
Object Riverside Line E209428 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: Riverside Line | Statement: [Metrolink (Southern California), hasLine, Riverside Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riverside Line
Context triple: [Metrolink (Southern California), hasLine, Riverside Line]
  • A. Riverside Line chosen
    The Riverside Line is a Metrolink commuter rail route in Southern California that connects Los Angeles with cities in the Inland Empire, including Riverside.
  • B. South London Line
    The South London Line is a suburban railway route in south London that connects several inner-city districts and provides key commuter services across the area.
  • C. Hope Valley Line
    The Hope Valley Line is a scenic railway route in northern England that runs through the Peak District, connecting Manchester and Sheffield via rural stations such as Edale.
  • D. S1 Line
    The S1 Line is a medium-capacity maglev rapid transit line in the Beijing Subway system serving the western suburbs of the city.
  • E. S1 Line
    The S1 Line is a rapid transit route within the Nanjing Metro system in Nanjing, China, providing urban rail service along one of the city’s key corridors.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46d7c184819083236c75f9ccc9cf completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8e903d0819095bfa87b83c3599f completed April 2, 2026, 5:35 p.m.
Created at: March 30, 2026, 6:24 p.m.