Triple

T18588894
Position Surface form Disambiguated ID Type / Status
Subject Takara Tomy E454306 entity
Predicate hasBrand P1500 FINISHED
Object Tomica 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: Tomica | Statement: [Takara Tomy, hasBrand, Tomica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomica
Context triple: [Takara Tomy, hasBrand, Tomica]
  • A. Tomica die-cast toy vehicles chosen
    Tomica die-cast toy vehicles are a long-running Japanese line of highly detailed miniature cars and other vehicles popular with both children and collectors worldwide.
  • B. Totota
    Totota is a town located in Bong County in central Liberia.
  • C. Toyone
    Toyone is a small rural village in Japan known for its mountainous terrain and forests, located within Aichi Prefecture.
  • D. Carros
    Carros is a commune in southeastern France situated in the Alpes-Maritimes department near Nice on the French Riviera.
  • E. Z Cars
    Z Cars is a pioneering British television police drama series that aired in the 1960s and 1970s, known for its gritty, realistic portrayal of everyday policing in the fictional town of Newtown.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b3e564819088e60fc25d1976f0 completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.