Triple

T7039332
Position Surface form Disambiguated ID Type / Status
Subject Tremont Street subway E163466 entity
Predicate lineDesignation P5539 FINISHED
Object Green Line trunk E250636 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 trunk | Statement: [Tremont Street subway, lineDesignation, Green Line trunk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Green Line trunk
Context triple: [Tremont Street subway, lineDesignation, Green Line trunk]
  • A. Green Line trunk subway chosen
    The Green Line trunk subway is the central underground segment of Boston's MBTA Green Line where multiple light rail branches converge and share tracks through the downtown area.
  • 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
    The Green Line is one of the main corridors of the Hyderabad Metro rapid transit system, serving key areas of the city along its north–south axis.
  • D. 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.
  • E. Green Line
    The Green Line is one of the color-coded routes of the Tyne and Wear Metro rapid transit system serving the Newcastle upon Tyne area in northeast England.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e22426508190ad7a17d14a086a3e completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775ac21888190a1adcf86b49b345f completed March 28, 2026, 6:31 a.m.
Created at: March 27, 2026, 2:36 p.m.