Triple

T9511604
Position Surface form Disambiguated ID Type / Status
Subject Glenmont station E229409 entity
Predicate partOfNetwork P840 FINISHED
Object Metrorail E56829 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: Metrorail | Statement: [Glenmont station, partOfNetwork, Metrorail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metrorail
Context triple: [Glenmont station, partOfNetwork, Metrorail]
  • A. Metrorail chosen
    Metrorail is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
  • B. Metrorail
    Metrorail is Miami-Dade County’s elevated rapid transit system that connects key neighborhoods, suburbs, and downtown Miami.
  • C. Metro Rail
    Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
  • D. Metrorail Orange Line
    The Metrorail Orange Line is a Washington, D.C. Metro rapid transit line that runs east–west through the region, connecting downtown D.C. with Arlington, Fairfax County, and beyond.
  • E. Metrorail Blue Line
    The Metrorail Blue Line is a Washington, D.C. Metro rapid transit line that runs through the capital region, connecting key suburbs and urban centers across Virginia and the District of Columbia.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98699b788190b1a475e1b1883584 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a37c7ec8190a24ae0eec76b4f67 completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:58 p.m.