Triple

T4313185
Position Surface form Disambiguated ID Type / Status
Subject Detroit QLine E94121 entity
Predicate operator P179 FINISHED
Object M-1 Rail E429314 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: M-1 Rail | Statement: [Detroit QLine, operator, M-1 Rail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M-1 Rail
Context triple: [Detroit QLine, operator, M-1 Rail]
  • A. M-1 Rail chosen
    M-1 Rail is the nonprofit organization that developed and oversees Detroit’s QLine streetcar system along Woodward Avenue.
  • B. 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.
  • C. O-Train
    The O-Train is Ottawa’s urban rail transit system, providing light rail service across key corridors of Canada’s capital city.
  • D. First Rail
    First Rail is the rail division of FirstGroup, operating passenger train services and related rail transport operations in the United Kingdom.
  • E. Länsimetro
    Länsimetro is a major westward extension of the Helsinki Metro that connects central Helsinki with the neighboring city of Espoo through a series of new underground stations.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350f319c08190bb40a9fc5933728d completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d07e7a288190b1fcd0075d14cd11 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:12 p.m.