Triple

T13629314
Position Surface form Disambiguated ID Type / Status
Subject BYD Tang E325672 entity
Predicate competitor P1375 FINISHED
Object Toyota Highlander E54565 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 Highlander | Statement: [BYD Tang, competitor, Toyota Highlander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyota Highlander
Context triple: [BYD Tang, competitor, Toyota Highlander]
  • A. Toyota Highlander chosen
    The Toyota Highlander is a popular midsize crossover SUV known for its reliability, family-friendly practicality, and available three-row seating.
  • B. Toyota Sequoia
    The Toyota Sequoia is a full-size SUV produced by Toyota, known for its spacious three-row interior, strong towing capability, and truck-based durability.
  • C. Lexus GX
    The Lexus GX is a mid-size luxury SUV known for its body-on-frame construction, off-road capability, and upscale interior.
  • D. Toyota RAV4
    The Toyota RAV4 is a popular compact crossover SUV known for its reliability, practicality, and strong sales worldwide.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9d803481908101def32817b0eb completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa895f081908f72a0746afeabed completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:51 p.m.