Triple

T4045959
Position Surface form Disambiguated ID Type / Status
Subject Toyota Camry E84065 entity
Predicate competitor P1375 FINISHED
Object Kia K5 E199435 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: Kia K5 | Statement: [Toyota Camry, competitor, Kia K5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kia K5
Context triple: [Toyota Camry, competitor, Kia K5]
  • A. Kia Stonic
    The Kia Stonic is a subcompact crossover SUV produced by Kia, known for its stylish design, urban-friendly size, and practical features aimed at budget-conscious buyers.
  • B. Kia Optima chosen
    The Kia Optima is a midsize family sedan known for its value, modern styling, and generous features.
  • C. Hyundai Kona
    The Hyundai Kona is a subcompact crossover SUV produced by the South Korean automaker Hyundai, known for its distinctive styling, urban-friendly size, and availability with gasoline, hybrid, and electric powertrains.
  • D. Kia
    Kia is a small settlement located on Santa Isabel Island in the Solomon Islands, known for its remote, rural character and coastal setting.
  • E. Kia
    Kia is a feminine given name used in various cultures, often as a short form of names like Kiara or Kiana.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb6135b481909d2be890a2140ff9 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55652228c8190a9f301676deb0055 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:37 p.m.