Triple

T1730497
Position Surface form Disambiguated ID Type / Status
Subject Volkswagen Golf E37797 entity
Predicate relatedModel P37 FINISHED
Object Škoda Octavia 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 Octavia | Statement: [Volkswagen Golf, relatedModel, Škoda Octavia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Škoda Octavia
Context triple: [Volkswagen Golf, relatedModel, Škoda Octavia]
  • 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. Opel Corsa
    The Opel Corsa is a popular supermini/subcompact car produced by the German automaker Opel since the early 1980s, known for its practicality and widespread use in European markets.
  • C. Volkswagen Golf
    The Volkswagen Golf is a compact car that has become one of the world’s best-selling and most influential hatchbacks since its introduction in the 1970s.
  • D. Volkswagen Passat
    The Volkswagen Passat is a long-running mid-size family car known for its practical design, comfortable ride, and strong presence in global markets.
  • E. Nissan Qashqai
    The Nissan Qashqai is a compact crossover SUV popular for its practical size, fuel efficiency, and family-friendly versatility, especially in European markets.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa637f202c8190b46a31bef51465c8 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8af9c15c8190818a891f5eae6569 completed March 8, 2026, 2:43 p.m.
Created at: March 4, 2026, 7:30 p.m.