Triple

T2941083
Position Surface form Disambiguated ID Type / Status
Subject Metrorail E79386 entity
Predicate hasLine P35 FINISHED
Object Green Line E13654 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: [Metrorail, hasLine, Green Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Line
Context triple: [Metrorail, hasLine, Green Line]
  • A. Green Line chosen
    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
    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. 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.
  • E. Green Line
    The Green Line is one of the main rapid transit routes of the Dubai Metro, serving key districts along Dubai Creek and connecting important commercial and residential areas.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad986f38948190a636a826693a9d4f completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b636ee2ed88190b37c7f6027d7623b completed March 15, 2026, 4:34 a.m.
Created at: March 8, 2026, 2:56 p.m.