Triple

T5064759
Position Surface form Disambiguated ID Type / Status
Subject Peugeot 607 E114115 entity
Predicate relatedModel P37 FINISHED
Object Citroën C5 E85605 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: Citroën C5 | Statement: [Peugeot 607, relatedModel, Citroën C5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citroën C5
Context triple: [Peugeot 607, relatedModel, Citroën C5]
  • A. Citroën C5 chosen
    The Citroën C5 is a mid-size family car produced by the French manufacturer Citroën, known for its comfortable ride and distinctive styling.
  • B. Citroën C6
    The Citroën C6 is a large executive sedan produced by the French automaker Citroën, known for its distinctive avant-garde styling, advanced comfort features, and hydropneumatic suspension.
  • C. Citroën C5 Aircross
    The Citroën C5 Aircross is a compact crossover SUV known for its distinctive styling and emphasis on comfort, produced by the French automaker Citroën.
  • D. Citroën C4
    The Citroën C4 is a compact family car produced by the French automaker Citroën, known for its distinctive styling and comfort-focused design.
  • E. Citroën Xantia
    The Citroën Xantia is a mid-size family car produced by the French manufacturer Citroën in the 1990s, noted for its distinctive styling and advanced hydropneumatic suspension system.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7478f7988190bc0473e8af055147 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba659fd8819081563a106fef3776 completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:38 p.m.