Triple

T13527015
Position Surface form Disambiguated ID Type / Status
Subject Toyota vehicles E323037 entity
Predicate notableModel P1503 FINISHED
Object Toyota C-HR E435073 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: Toyota C-HR | Statement: [Toyota vehicles, notableModel, Toyota C-HR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyota C-HR
Context triple: [Toyota vehicles, notableModel, Toyota C-HR]
  • A. Toyota C-HR chosen
    The Toyota C-HR is a subcompact crossover SUV known for its distinctive coupe-like styling, efficient powertrains, and urban-focused design.
  • B. Toyota Yaris Cross
    The Toyota Yaris Cross is a subcompact crossover SUV that combines the Yaris hatchback’s platform and efficiency with higher ride height, SUV styling, and available hybrid powertrains.
  • C. Honda HR-V
    The Honda HR-V is a subcompact crossover SUV known for its versatile interior, efficient performance, and practicality for urban and family use.
  • D. Toyota Yaris
    The Toyota Yaris is a popular subcompact car known for its reliability, fuel efficiency, and strong reputation in global small-car markets.
  • E. Baleno
    Baleno is a coastal municipality in the province of Masbate in the Philippines, known for its rural communities and fishing-based local economy.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafb8e0cc8190b47f6aeb8ced470e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942668f481909c6d892fdfd32c02 completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 9:44 p.m.