Triple

T4734328
Position Surface form Disambiguated ID Type / Status
Subject Peugeot 308 E105086 entity
Predicate bodyVariant P44373 FINISHED
Object Peugeot 308 SW E105086 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: Peugeot 308 SW | Statement: [Peugeot 308, bodyVariant, Peugeot 308 SW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peugeot 308 SW
Context triple: [Peugeot 308, bodyVariant, Peugeot 308 SW]
  • A. Peugeot 308 chosen
    The Peugeot 308 is a compact family hatchback produced by the French automaker Peugeot, known for its stylish design, efficient engines, and comfortable ride.
  • B. Peugeot 208
    The Peugeot 208 is a popular supermini hatchback produced by the French automaker Peugeot, known for its stylish design, efficient engines, and modern technology features.
  • C. Peugeot 2008
    The Peugeot 2008 is a subcompact crossover SUV produced by the French automaker Peugeot, known for its urban-friendly size, modern styling, and efficient engines.
  • D. Peugeot 3008
    The Peugeot 3008 is a compact crossover SUV known for its distinctive design, practical interior, and advanced technology features.
  • E. Peugeot 508
    The Peugeot 508 is a mid-size family car produced by the French automaker Peugeot, known for its sleek design, comfortable ride, and range of efficient engines.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6467a1fc819089485b4d76e0edc4 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10b0b8d08190ad1cd262ee870f08 completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:19 p.m.