Triple

T2400559
Position Surface form Disambiguated ID Type / Status
Subject Warsaw Metro E47755 entity
Predicate hasRollingStockManufacturer P4022 FINISHED
Object Škoda Transportation E39971 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: Škoda Transportation | Statement: [Warsaw Metro, hasRollingStockManufacturer, Škoda Transportation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Škoda Transportation
Context triple: [Warsaw Metro, hasRollingStockManufacturer, Škoda Transportation]
  • A. Škoda chosen
    Škoda is a Czech automobile manufacturer known for producing practical, affordable cars and operating as a subsidiary brand within the Volkswagen Group.
  • B. Škoda Scala
    The Škoda Scala is a compact hatchback introduced by the Czech automaker Škoda Auto, positioned between the Fabia and Octavia and known for its practicality, spacious interior, and modern technology features.
  • C. Neoplan
    Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
  • D. Steyr-Daimler-Puch
    Steyr-Daimler-Puch was a major Austrian industrial conglomerate best known for producing firearms, vehicles, and machinery throughout the 20th century.
  • E. GAZ Group
    GAZ Group is a major Russian automotive manufacturer best known for producing commercial vehicles, trucks, and buses.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8c95d8c819088e4bb4fb32452ae completed March 7, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3e319c481908537fe278f6f0a67 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:57 p.m.