Triple

T12151001
Position Surface form Disambiguated ID Type / Status
Subject Stare Bielany metro station E289451 entity
Predicate operator P179 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: [Stare Bielany metro station, operator, Metro Warszawskie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro Warszawskie
Context triple: [Stare Bielany metro station, operator, 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. Warszawa II
    Warszawa II is a dramatic 19th-century drawing by Polish artist Artur Grottger, depicting scenes from the January Uprising and the struggle for Polish independence.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ae736c8190aaab05efb93c5854 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a80aa6881908111cc47b5fe8b9e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:49 p.m.