Triple

T17914377
Position Surface form Disambiguated ID Type / Status
Subject Renault Espace E447887 entity
Predicate competitor P1375 FINISHED
Object Ford Galaxy NE NERFINISHED

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: Ford Galaxy | Statement: [Renault Espace, competitor, Ford Galaxy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ford Galaxy
Context triple: [Renault Espace, competitor, Ford Galaxy]
  • A. Ford Galaxy chosen
    The Ford Galaxy is a large multi-purpose vehicle (MPV) produced by Ford, known for its spacious seven-seat interior and family-oriented design.
  • B. Volkswagen Touran
    The Volkswagen Touran is a compact multi-purpose vehicle (MPV) produced by Volkswagen, known for its versatile interior, practicality, and family-oriented design.
  • C. Ford Transit
    The Ford Transit is a widely used light commercial van known for its versatility, cargo capacity, and popularity in both commercial and passenger transport markets worldwide.
  • D. Volkswagen Caddy
    The Volkswagen Caddy is a compact panel van and leisure activity vehicle known for its practicality, versatility, and popularity among both commercial users and families.
  • E. Ford Mondeo
    The Ford Mondeo is a mid-size family car produced by Ford, known for its practicality, comfort, and strong presence in the European market.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30461848190b932a45807329216 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.