Triple

T7617489
Position Surface form Disambiguated ID Type / Status
Subject NQ E172397 entity
Predicate line P1293 FINISHED
Object Red Line unclear NED1 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: Red Line | Statement: [NQ, line, Red Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Red Line
Context triple: [NQ, line, Red Line]
  • A. Red Line
    The Red Line is a primary route of the MetroLink light rail system serving key destinations in the St. Louis metropolitan area.
  • B. Red Line
    Red Line is a song by the American rock band Trans Am, known for their experimental blend of post-rock, electronic, and krautrock influences.
  • C. Red Line
    The Red Line is a major rapid transit route in Chicago that runs north–south through the city, serving as one of the busiest lines in its subway and elevated rail system.
  • D. Red Line
    Red Line is a major rapid transit route in the Washington Metro system, running through key areas of Washington, D.C., and its Maryland suburbs.
  • E. Red Line
    The Red Line is one of the primary heavy-rail rapid transit routes in Atlanta’s MARTA system, running north–south and serving key destinations across the metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa46d95081909c01d1432585ab2a completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c868714d7c8190aae66a3dd4e6214b completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:55 p.m.