Triple

T18367634
Position Surface form Disambiguated ID Type / Status
Subject Alpine F1 Team E440089 entity
Predicate formerConstructorName P65 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: [Alpine F1 Team, formerConstructorName, Renault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renault
Context triple: [Alpine F1 Team, formerConstructorName, 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. DS Automobiles
    DS Automobiles is a French premium automotive brand known for its avant-garde design, advanced technology, and luxury-focused vehicles.
  • E. Renault Estafette
    The Renault Estafette is a light commercial van produced by the French manufacturer Renault from the late 1950s to the early 1980s, widely used in Europe for delivery, service, and passenger transport.
  • 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: formerConstructorName
Context triple: [Alpine F1 Team, formerConstructorName, Renault]
  • A. usedConstructorName
    Indicates that a particular constructor was invoked using a specific constructor name in the creation or initialization of an entity.
  • B. formerComponentName
    Indicates that an entity previously had a different component name before being renamed or replaced.
  • C. formerName chosen
    Indicates that an entity was previously known by a different name in the past.
  • D. formerType
    Indicates that one entity previously had a certain type, role, or classification but no longer does.
  • E. formerFunction
    Indicates that an entity previously held a specific role, position, or function but no longer does so.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174f5f448190a1fc67d3039aadd9 completed April 19, 2026, 5:56 p.m.
PD Predicate disambiguation batch_69e44fed3fdc81908f4ed6a81db42416 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:38 a.m.