Triple

T8907978
Position Surface form Disambiguated ID Type / Status
Subject Kharkiv Metro E212108 entity
Predicate hasInterchangeStation P2413 FINISHED
Object Metrobudivnykiv E212108 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: Metrobudivnykiv | Statement: [Kharkiv Metro, hasInterchangeStation, Metrobudivnykiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metrobudivnykiv
Context triple: [Kharkiv Metro, hasInterchangeStation, Metrobudivnykiv]
  • A. Kyiv Metro
    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 chosen
    Kharkiv Metro is the rapid transit system serving the city of Kharkiv, Ukraine, providing urban rail transportation across multiple underground lines and stations.
  • C. Metros
    Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
  • D. 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.
  • E. Ürümqi Metro
    Ürümqi Metro is the rapid transit system serving Ürümqi, the capital of China’s Xinjiang Uyghur Autonomous Region.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64c6a87c81909331a39619f913c0 completed April 1, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba31fc148190a8dbe378694dcc32 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:55 p.m.