Triple

T21238973
Position Surface form Disambiguated ID Type / Status
Subject Mitsubishi Outlander E523420 entity
Predicate competitor P1375 FINISHED
Object Hyundai Tucson NE NERFINISHED

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: Hyundai Tucson | Statement: [Mitsubishi Outlander, competitor, Hyundai Tucson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyundai Tucson
Context triple: [Mitsubishi Outlander, competitor, Hyundai Tucson]
  • A. Hyundai Tucson chosen
    The Hyundai Tucson is a compact crossover SUV known for its practicality, modern styling, and strong value in the global automotive market.
  • B. Hyundai Santa Fe
    The Hyundai Santa Fe is a popular mid-size crossover SUV known for its practicality, comfort, and value-oriented features.
  • C. Kia Sportage
    The Kia Sportage is a compact crossover SUV known for its modern styling, practicality, and value-oriented features in the family SUV segment.
  • D. Hyundai Veracruz
    The Hyundai Veracruz is a mid-size crossover SUV produced by Hyundai from 2006 to 2015, known for its three-row seating and positioning as the brand’s then-flagship SUV.
  • E. Kia Sorento
    The Kia Sorento is a mid-size crossover SUV known for its family-friendly interior, available three-row seating, and a balance of comfort, practicality, and value.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73521eb7c8190b1b97b42d0d052c3 completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:46 p.m.