Triple

T16179305
Position Surface form Disambiguated ID Type / Status
Subject MG Hector E392644 entity
Predicate competitor P1375 FINISHED
Object Kia Seltos E436816 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 Seltos | Statement: [MG Hector, competitor, Kia Seltos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kia Seltos
Context triple: [MG Hector, competitor, Kia Seltos]
  • A. Kia Seltos chosen
    The Kia Seltos is a compact crossover SUV known for its modern styling, tech-focused interior, and value-oriented positioning in the small SUV segment.
  • B. 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.
  • C. Kia Soul
    The Kia Soul is a compact crossover SUV known for its boxy design, spacious interior, and distinctive youthful styling.
  • D. Kia K5
    The Kia K5 is a mid-size family sedan known for its sleek styling, advanced technology features, and value-oriented positioning in Kia’s global lineup.
  • E. 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.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205b88b481908ecdd8d663dc668b completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0022148190bc1810e76cf6d994 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.