Triple

T4789525
Position Surface form Disambiguated ID Type / Status
Subject Peugeot 3008 E106567 entity
Predicate relatedModel P37 FINISHED
Object Opel Grandland E186510 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: Opel Grandland | Statement: [Peugeot 3008, relatedModel, Opel Grandland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opel Grandland
Context triple: [Peugeot 3008, relatedModel, Opel Grandland]
  • A. Opel Grandland chosen
    The Opel Grandland is a compact crossover SUV produced by the German automaker Opel, positioned as a family-oriented vehicle with modern styling and practical features.
  • B. Opel Crossland
    The Opel Crossland is a compact crossover SUV designed for urban practicality and family use, offering a high driving position and versatile interior in a small footprint.
  • C. Opel Mokka
    The Opel Mokka is a subcompact crossover SUV produced by the German automaker Opel, known for its urban-friendly size and modern design.
  • D. Vauxhall Antara
    The Vauxhall Antara is a compact crossover SUV produced by Vauxhall/Opel as a rebadged version of the Chevrolet Captiva for the European market.
  • E. Opel Astra
    The Opel Astra is a popular compact family car produced by the German automaker Opel, known for its practicality, efficiency, and widespread use 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65db847081908f5456724a2bdc65 completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43e504488190b55cd745f82e9897 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:22 p.m.