Triple

T22963913
Position Surface form Disambiguated ID Type / Status
Subject Silver Line SL4 E570981 entity
Predicate usesBrand P1500 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: [Silver Line SL4, usesBrand, Silver Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Line
Context triple: [Silver Line SL4, usesBrand, 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 chosen
    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.
  • C. 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.
  • D. 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.
  • E. Silver Line
    Silver Line is a cosmetic product, likely a specific shade or variant within the Blush makeup line.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f66fbc8190a4a7b73d17537132 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.