Triple

T4214252
Position Surface form Disambiguated ID Type / Status
Subject Honda CR-V E93974 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: [Honda CR-V, competitor, Toyota RAV4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyota RAV4
Context triple: [Honda CR-V, 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 Highlander
    The Toyota Highlander is a popular midsize crossover SUV known for its reliability, family-friendly practicality, and available three-row seating.
  • C. Honda CR-V
    The Honda CR-V is a popular compact crossover SUV known for its reliability, practicality, and family-friendly design.
  • D. Nissan Rogue
    The Nissan Rogue is a compact crossover SUV known for its practicality, fuel efficiency, and family-friendly features.
  • E. Toyota Fortuner
    The Toyota Fortuner is a mid-size SUV built on a rugged pickup-truck platform, known for its durability, off-road capability, and popularity in markets across Asia, Africa, and Latin America.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34be700908190a8cf5e3a27dad5bf completed March 12, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b59634e52c81908cb967f124a96950 completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.