Triple

T17643473
Position Surface form Disambiguated ID Type / Status
Subject Brush Park E429295 entity
Predicate locatedNear P294 FINISHED
Object M-1 Rail QLine NE NERFINISHED

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: M-1 Rail QLine | Statement: [Brush Park, locatedNear, M-1 Rail QLine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M-1 Rail QLine
Context triple: [Brush Park, locatedNear, M-1 Rail QLine]
  • A. M-1 Rail
    M-1 Rail is the nonprofit organization that developed and oversees Detroit’s QLine streetcar system along Woodward Avenue.
  • B. M-1 RAIL
    M-1 RAIL is the private consortium that operates and manages Detroit’s QLine streetcar system.
  • C. M-1 Rail line chosen
    The M-1 Rail line is a modern streetcar system running along Woodward Avenue in Detroit, Michigan, designed to support downtown and Midtown transit and spur urban redevelopment.
  • D. O-Train
    The O-Train is Ottawa’s urban rail transit system, providing light rail service across key corridors of Canada’s capital city.
  • E. MARC Train
    MARC Train is a commuter rail service operating in Maryland and the surrounding region, connecting cities such as Washington, D.C., Baltimore, and Martinsburg.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de7055c819080d315bb3637882b completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 6:03 a.m.