Triple

T16420190
Position Surface form Disambiguated ID Type / Status
Subject DS 4 E398795 entity
Predicate hasVariant P455 FINISHED
Object DS 4 Cross E398795 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: DS 4 Cross | Statement: [DS 4, hasVariant, DS 4 Cross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DS 4 Cross
Context triple: [DS 4, hasVariant, DS 4 Cross]
  • A. DS 4 chosen
    The DS 4 is a premium compact hatchback/crossover from French brand DS Automobiles, known for its distinctive styling, upscale interior, and focus on comfort and technology.
  • B. DS400
    DS400 is a World Trade Organization dispute case concerning the European Communities’ restrictions on the importation and marketing of seal products, challenged primarily on trade and animal welfare grounds.
  • C. DS 3
    The DS 3 is a premium subcompact car from French brand DS Automobiles, known for its distinctive styling and upscale features.
  • D. DS48
    DS48 is a World Trade Organization dispute case concerning the European Communities’ restrictions on hormone-treated meat products, primarily challenged by the United States and Canada.
  • E. DS 3 Crossback
    The DS 3 Crossback is a compact premium crossover SUV known for its distinctive French design, upscale interior, and advanced technology features.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f5c1bc8190a679f35bd6c0bc97 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6e882c81908fae034f1b75b7ee completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.