Triple

T7210629
Position Surface form Disambiguated ID Type / Status
Subject Ford Escape E149390 entity
Predicate competitor P1375 FINISHED
Object Toyota RAV4 E150182 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 RAV4 | Statement: [Ford Escape, competitor, Toyota RAV4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyota RAV4
Context triple: [Ford Escape, competitor, Toyota RAV4]
  • A. Toyota RAV4 chosen
    The Toyota RAV4 is a popular compact crossover SUV known for its reliability, practicality, and strong sales worldwide.
  • B. Toyota 4Runner
    The Toyota 4Runner is a mid-size SUV known for its rugged body-on-frame construction, strong off-road capability, and long-standing reputation for durability and reliability.
  • C. Toyota Highlander
    The Toyota Highlander is a popular midsize crossover SUV known for its reliability, family-friendly practicality, and available three-row seating.
  • D. Honda CR-V
    The Honda CR-V is a popular compact crossover SUV known for its reliability, practicality, and family-friendly design.
  • E. Subaru Forester
    The Subaru Forester is a compact crossover SUV known for its standard all-wheel drive, practicality, and strong safety reputation.
  • 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e96de4f081908f29b30c95e349f5 completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfc9aae48190aa432ebc0034d9b8 completed March 28, 2026, 11:47 a.m.
Created at: March 27, 2026, 2:53 p.m.