Triple

T145744
Position Surface form Disambiguated ID Type / Status
Subject Alewife station E3325 entity
Predicate line P1293 FINISHED
Object Red Line E44935 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: [Alewife station, line, Red Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Red Line
Context triple: [Alewife station, line, 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.

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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a257ea7eac8190884a53453a9e0dd6 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3f4d33cd48190b23d84be9cde773d completed March 1, 2026, 8:12 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.