Triple

T3974439
Position Surface form Disambiguated ID Type / Status
Subject Citroën C5 III E85605 entity
Predicate alsoKnownAs P39 FINISHED
Object Citroën C5 X E404987 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 X | Statement: [Citroën C5 III, alsoKnownAs, Citroën C5 X]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citroën C5 X
Context triple: [Citroën C5 III, alsoKnownAs, Citroën C5 X]
  • A. Citroën C5 X chosen
    The Citroën C5 X is a large crossover-style flagship model from Citroën that blends elements of a sedan, estate, and SUV, emphasizing comfort and distinctive design.
  • B. Citroën C4 Picasso
    The Citroën C4 Picasso is a compact multi-purpose vehicle (MPV) known for its distinctive styling, spacious and versatile interior, and family-oriented design.
  • C. 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.
  • D. Citroën C5
    The Citroën C5 is a mid-size family car produced by the French manufacturer Citroën, known for its comfortable ride and distinctive styling.
  • E. Peugeot 3008
    The Peugeot 3008 is a compact crossover SUV known for its distinctive design, practical interior, and advanced 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_69b54c472d048190843b29a6a9a4be86 completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:32 p.m.