Triple

T16666321
Position Surface form Disambiguated ID Type / Status
Subject C5 Break E404990 entity
Predicate basedOn P98 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: [C5 Break, basedOn, Citroën C5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citroën C5
Context triple: [C5 Break, basedOn, 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 C35
    The Citroën C35 is a light commercial van produced from the mid-1970s through the 1980s, developed jointly by Citroën and Fiat and known for its robust, practical design for cargo and utility use.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9cd7ec819084aa9b2830874bf5 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c79657ec8190b1b3500b7a99df0a completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 5:18 a.m.