Triple

T20203988
Position Surface form Disambiguated ID Type / Status
Subject D03 E493299 entity
Predicate line P1293 FINISHED
Object Silver Line NE NERFINISHED

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: Silver Line | Statement: [D03, line, Silver Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Line
Context triple: [D03, line, Silver Line]
  • A. Silver Line
    The Silver Line is a rapid transit route in the Washington Metro system that serves northern Virginia suburbs, including Tysons and Reston, and connects them to Washington, D.C.
  • B. Silver Line
    The Silver Line is a heritage streetcar route within the San Diego Trolley system that operates vintage vehicles primarily for downtown circulator service.
  • C. Silver Line
    The Silver Line is one of the urban cable car routes in La Paz–El Alto’s Mi Teleférico aerial transit system, known for its silver color designation.
  • D. Silver Line
    The Silver Line is a bus rapid transit service in Boston, Massachusetts, operated by the MBTA and serving key corridors including the Seaport District and Logan Airport.
  • E. The Silver Line
    The Silver Line is a UK-based helpline charity that offers information, friendship, and emotional support to older people to combat loneliness and isolation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8f90108190b72e37c0056de0f8 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.