Triple

T17709790
Position Surface form Disambiguated ID Type / Status
Subject Syretsko–Pecherska line E441532 entity
Predicate partOf P40 FINISHED
Object Kyiv Metro 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: Kyiv Metro | Statement: [Syretsko–Pecherska line, partOf, Kyiv Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyiv Metro
Context triple: [Syretsko–Pecherska line, partOf, Kyiv Metro]
  • A. Kyiv Metro chosen
    Kyiv Metro is the rapid transit system serving Ukraine’s capital, known for its deep underground stations and role as a major component of the city’s public transportation network.
  • B. Kharkiv Metro
    Kharkiv Metro is the rapid transit system serving the city of Kharkiv, Ukraine, providing urban rail transportation across multiple underground lines and stations.
  • C. Dnipro Metro
    The Dnipro Metro is a small rapid transit system serving the city of Dnipro in Ukraine, featuring a single operational line with Soviet-era rolling stock and limited but expanding coverage.
  • D. Kievskaya metro hub
    Kievskaya metro hub is a major Moscow transport interchange complex centered around multiple Kievskaya metro stations and the adjacent Kiyevsky railway terminal.
  • E. Kyiv tram network
    The Kyiv tram network is an extensive urban light rail system in Ukraine’s capital, providing surface-level public transportation that complements the city’s metro and bus services.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729a9a9c81908d65ff0bda12c961 completed April 19, 2026, 6:13 a.m.
Created at: April 10, 2026, 10:05 a.m.