Triple

T17367690
Position Surface form Disambiguated ID Type / Status
Subject Subaru Forester E422225 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: [Subaru Forester, competitor, Toyota RAV4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyota RAV4
Context triple: [Subaru Forester, 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. Isuzu Hi-Lander
    The Isuzu Hi-Lander is a variant of Isuzu’s Panther multi-purpose vehicle, popular in Southeast Asian markets for its durability and utility as a family and commercial transporter.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a661fc08190a4c386125bddb16b completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019566da6c819083b59e0911d02bd5 completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.