Triple

T276451
Position Surface form Disambiguated ID Type / Status
Subject Fields Corner E5259 entity
Predicate partOfLine P6309 FINISHED
Object Red Line E44935 NE FINISHED

How this triple was built (3 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: [Fields Corner, partOfLine, Red Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Red Line
Context triple: [Fields Corner, partOfLine, Red Line]
  • A. 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.
  • B. 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.
  • C. Red Line chosen
    The Red Line is a major rapid transit route in the Boston metropolitan area, operated by the MBTA and running primarily north–south through key neighborhoods and suburbs.
  • D. Yellow Line
    The Yellow Line is a rapid transit route in Chicago's 'L' system that connects the northern suburb of Skokie to the city's rail network.
  • E. Yellow Line
    The Yellow Line is one of the color-coded rapid transit routes in the Washington Metro system, running primarily in a north–south direction and serving key areas in Washington, D.C. and Northern Virginia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: partOfLine
Context triple: [Fields Corner, partOfLine, Red Line]
  • A. partOfName
    Indicates that one string is a component or substring that forms part of another entity’s name.
  • B. hasPart
    Indicates that one entity is a component, segment, or constituent part of another entity.
  • C. perpendicularTo
    Indicates that one entity is oriented at a right angle (90 degrees) to another entity.
  • D. railwayLine
    Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
  • E. isPartOfRoute chosen
    Indicates that something (such as a segment, stop, or step) belongs to and is contained within a larger route.
  • F. None of above.

Provenance (4 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25dec53ac8190912f3d79576131fa completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a46c56fbac8190a2c0c12b5d70d4bd completed March 1, 2026, 4:41 p.m.
PD Predicate disambiguation batch_69a25b7480e881909399beccfc7ffb81 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.