Triple

T10381556
Position Surface form Disambiguated ID Type / Status
Subject Karamyshevskaya E244652 entity
Predicate line P1293 FINISHED
Object Big Circle Line E42071 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: Big Circle Line | Statement: [Karamyshevskaya, line, Big Circle Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Circle Line
Context triple: [Karamyshevskaya, line, Big Circle Line]
  • A. Big Circle Line chosen
    The Big Circle Line is a major circular metro line in the Moscow Metro system designed to connect outlying radial lines and reduce congestion in the city center.
  • B. City Circle Line
    The City Circle Line is a driverless rapid transit route in Copenhagen’s metro system that forms a loop connecting key districts and major transport hubs across the city.
  • C. Pink Line
    The Pink Line is a rapid transit route in Chicago's "L" system that runs between the Loop and the city's West Side neighborhoods.
  • D. Pink Line
    Pink Line is a major corridor of the Delhi Metro network that forms part of the system’s orbital route around the city.
  • E. R Line
    The R Line is a New York City Subway service that runs through Brooklyn, Queens, and Manhattan, connecting neighborhoods along a local route in the BMT Broadway Line corridor.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9921fa48190a874aa9a9e385b97 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fba398b88190ae3223218bf53ca7 completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 12:03 p.m.