Triple

T11792886
Position Surface form Disambiguated ID Type / Status
Subject Union Depot station E280430 entity
Predicate partOf P40 FINISHED
Object METRO light rail system E56106 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: METRO light rail system | Statement: [Union Depot station, partOf, METRO light rail system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: METRO light rail system
Context triple: [Union Depot station, partOf, METRO light rail system]
  • A. METRO light rail chosen
    METRO light rail is a rapid transit system serving the Minneapolis–Saint Paul metropolitan area with multiple color-designated lines connecting key urban, suburban, and airport destinations.
  • B. MAX Light Rail
    MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
  • C. METRORail light rail
    METRORail light rail is Houston's urban light rail transit system operated by METRO, connecting key destinations throughout the city’s central area.
  • D. Metro Rail
    Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
  • E. Mi Tren light rail system
    The Mi Tren light rail system is an urban rail transit network serving the Guadalajara metropolitan area in Jalisco, Mexico.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a082d08190a42541396a06ed98 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f166c735008190a73dd74dbcddd182 completed April 29, 2026, 2:02 a.m.
Created at: April 8, 2026, 9:42 p.m.