Triple

T3974453
Position Surface form Disambiguated ID Type / Status
Subject Citroën C5 E85605 entity
Predicate relatedModel P37 FINISHED
Object Peugeot 508 E109229 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 508 | Statement: [Citroën C5, relatedModel, Peugeot 508]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peugeot 508
Context triple: [Citroën C5, relatedModel, Peugeot 508]
  • A. Peugeot 508 chosen
    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.
  • B. Peugeot 5008
    The Peugeot 5008 is a mid-size crossover SUV, originally launched as an MPV, known for its seven-seat practicality and modern French styling.
  • C. Peugeot 308
    The Peugeot 308 is a compact family hatchback produced by the French automaker Peugeot, known for its stylish design, efficient engines, and comfortable ride.
  • D. 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.
  • E. 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.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9b511f88190afca12c77481b344 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5561cb5648190a449eb155c962d6e completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:32 p.m.