Triple

T11619022
Position Surface form Disambiguated ID Type / Status
Subject Rondo Daszyńskiego metro station E275585 entity
Predicate operatedBy P86 FINISHED
Object Metro Warszawskie E262759 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 Warszawskie | Statement: [Rondo Daszyńskiego metro station, operatedBy, Metro Warszawskie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro Warszawskie
Context triple: [Rondo Daszyńskiego metro station, operatedBy, Metro Warszawskie]
  • A. Metro Warszawskie chosen
    Metro Warszawskie is the municipal company responsible for operating and maintaining the Warsaw Metro rapid transit system in Poland’s capital.
  • B. Tricity Derby
    Tricity Derby is a fiercely contested Polish football rivalry match between clubs from the Tricity metropolitan area on the Baltic coast.
  • C. Łódź derby
    The Łódź derby is the fiercely contested football rivalry between the two major clubs from the Polish city of Łódź, Widzew Łódź and ŁKS Łódź.
  • D. ZTM Warsaw
    ZTM Warsaw is the public transport authority responsible for organizing and managing Warsaw’s integrated network of buses, trams, metro, and suburban rail services.
  • E. Ujazdów
    Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a047758081908191c1d564409d9a completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee873ee6888190ab6e87ed0f4ae731 completed April 26, 2026, 9:44 p.m.
Created at: April 8, 2026, 9:38 p.m.