Triple

T5599259
Position Surface form Disambiguated ID Type / Status
Subject Maryland Transit Administration E147074 entity
Predicate operatesSystem P3941 FINISHED
Object Metro SubwayLink E111014 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: Metro SubwayLink | Statement: [Maryland Transit Administration, operatesSystem, Metro SubwayLink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro SubwayLink
Context triple: [Maryland Transit Administration, operatesSystem, Metro SubwayLink]
  • A. Metro SubwayLink chosen
    Metro SubwayLink is Baltimore’s rapid transit subway system, providing high-frequency rail service across key corridors in the Baltimore metropolitan area.
  • B. Metro Rail
    Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
  • C. Metro Line
    The Metro Line is a light rail transit route in Edmonton, Alberta, serving key destinations such as the city’s downtown and major educational and health institutions.
  • D. MRT subway
    The MRT subway in Bangkok is a major rapid transit system that provides fast, air-conditioned underground and elevated rail services across key areas of the city.
  • E. Metrovías
    Metrovías is an Argentine private company that operated and managed public transportation services in Buenos Aires, including the city’s underground metro system, for many years.
  • 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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020d82870819087f9591b5a1021ce completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287139508190aa646918228cfdc0 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:38 p.m.