Triple

T18172828
Position Surface form Disambiguated ID Type / Status
Subject Toyota C-HR E435073 entity
Predicate competitor P1375 FINISHED
Object Honda HR-V — 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: Honda HR-V | Statement: [Toyota C-HR, competitor, Honda HR-V]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Honda HR-V
Context triple: [Toyota C-HR, competitor, Honda HR-V]
  • A. Honda HR-V chosen
    The Honda HR-V is a subcompact crossover SUV known for its versatile interior, efficient performance, and practicality for urban and family use.
  • B. Honda CR-V
    The Honda CR-V is a popular compact crossover SUV known for its reliability, practicality, and family-friendly design.
  • C. Honda ZR-V
    The Honda ZR-V is a compact crossover SUV positioned between the HR-V and CR-V, offering a more premium, dynamically styled alternative in Honda’s global lineup.
  • D. Toyota C-HR
    The Toyota C-HR is a subcompact crossover SUV known for its distinctive coupe-like styling, efficient powertrains, and urban-focused design.
  • E. Honda Civic
    The Honda Civic is a popular compact car known for its reliability, fuel efficiency, and long-standing presence in Honda’s global lineup.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df56d0a88190af3f407d2a3bb74f completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.