Triple

T20246052
Position Surface form Disambiguated ID Type / Status
Subject 2006 Paris Motor Show E498426 entity
Predicate hasExhibitor P33707 FINISHED
Object Renault NE NERFINISHED

How this triple was built (3 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: Renault | Statement: [2006 Paris Motor Show, hasExhibitor, Renault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renault
Context triple: [2006 Paris Motor Show, hasExhibitor, Renault]
  • A. Renault chosen
    Renault is a major French automobile manufacturer known for producing a wide range of passenger cars, commercial vehicles, and electric vehicles sold worldwide.
  • B. Peugeot
    Peugeot is a historic French automobile manufacturer known for producing a wide range of passenger cars and commercial vehicles, now operating as a core brand within the multinational automotive group Stellantis.
  • C. Citroën
    Citroën is a historic French automobile manufacturer known for its innovative engineering and distinctive car designs.
  • D. Matra Transport
    Matra Transport is a French company known for designing and producing automated urban transit and people-mover systems used in cities and airports worldwide.
  • E. Renault Wind
    The Renault Wind is a compact two-seat convertible roadster produced by the French automaker Renault in the early 2010s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasExhibitor
Context triple: [2006 Paris Motor Show, hasExhibitor, Renault]
  • A. hasExhibitors chosen
    Indicates that an entity includes, hosts, or is associated with one or more exhibitors.
  • B. hasExhibition
    Indicates that an entity organizes, hosts, or presents a particular exhibition.
  • C. hasExhibits
    Indicates that an entity (such as a museum, gallery, or event) displays or presents certain items, artworks, or objects as part of its collection or show.
  • D. hasExhibitionVenue
    Indicates that an exhibition is held or hosted at a particular venue.
  • E. hasExhibitionFunction
    Indicates that an entity serves the role or purpose of exhibiting, displaying, or presenting something (e.g., objects, works, or information).
  • F. None of above.

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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a26c8481908f408fb6426aece9 completed April 20, 2026, 6:42 p.m.
PD Predicate disambiguation batch_69e55b1b23f88190bdcbe2f81dd226dd completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:40 p.m.