Triple

T1903781
Position Surface form Disambiguated ID Type / Status
Subject VWAG E37751 entity
Predicate underlyingCompanyBrandPortfolio P27763 FINISHED
Object Škoda 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 | Statement: [VWAG, underlyingCompanyBrandPortfolio, Škoda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Škoda
Context triple: [VWAG, underlyingCompanyBrandPortfolio, Škoda]
  • 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. Škoda Fabia
    The Škoda Fabia is a popular supermini/subcompact car produced by Czech automaker Škoda Auto, known for its practicality, reliability, and value-oriented design.
  • D. BMW
    BMW is a German luxury automobile and motorcycle manufacturer renowned for its performance-oriented vehicles and engineering.
  • E. Opel
    Opel is a German automobile manufacturer known for producing a wide range of passenger cars and light commercial vehicles for the European market.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb7c376208190bbf28504f1aac881 completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfba998e88190a4692d3aefa09806 completed March 8, 2026, 10:43 p.m.
Created at: March 4, 2026, 7:35 p.m.