Triple

T142260
Position Surface form Disambiguated ID Type / Status
Subject North Station E2878 entity
Predicate serves P98 FINISHED
Object Green Line E46364 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: Green Line | Statement: [North Station, serves, Green Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Line
Context triple: [North Station, serves, Green Line]
  • A. Green Line
    The Green Line is one of the color-coded rapid transit routes in the Washington Metro system, serving key neighborhoods in Washington, D.C. and parts of Maryland.
  • B. Green Line
    The Green Line is one of Chicago's elevated rapid transit routes, running primarily along the city's West and South Sides as part of the Chicago "L" system.
  • C. Green Line chosen
    The Green Line is a light rail service in the Boston metropolitan area operated by the Massachusetts Bay Transportation Authority (MBTA), known for serving key downtown and surrounding neighborhoods.
  • D. MAX Green Line
    MAX Green Line is a light rail service in the Portland, Oregon metropolitan area that connects downtown Portland with Clackamas Town Center as part of TriMet’s MAX Light Rail system.
  • E. 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.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257c9cab8819095e8d9fa32c1fbc6 completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3eca078188190891587981ec0c15d completed March 1, 2026, 7:37 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.