Triple

T2633921
Position Surface form Disambiguated ID Type / Status
Subject São Paulo Metro E59698 entity
Predicate firstLineOpened P17696 FINISHED
Object Line 1–Blue E272651 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: Line 1–Blue | Statement: [São Paulo Metro, firstLineOpened, Line 1–Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 1–Blue
Context triple: [São Paulo Metro, firstLineOpened, Line 1–Blue]
  • A. Metro Line 1 chosen
    Metro Line 1 is a primary rapid transit route in its city's metro system, serving as a major corridor for passenger travel and interchanges with other lines.
  • B. Line 15–Silver
    Line 15–Silver is a driverless monorail line of the São Paulo Metro system serving the city’s eastern zone.
  • C. 1 Line (Link light rail)
    The 1 Line is a light rail line in Sound Transit's Link light rail system serving the Seattle metropolitan area in Washington State.
  • D. Yellow Line
    The Yellow Line is a designated route within the Baltimore Light Rail system that serves as one of its primary color-coded service lines.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8def9bc8190b2e013abffc7b191 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98bb55f08190bb072c9b106aa748 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:50 p.m.