Triple

T6824998
Position Surface form Disambiguated ID Type / Status
Subject Kyocera E156991 entity
Predicate hasSubsidiary P254 FINISHED
Object Kyocera Communications E451579 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: Kyocera Communications | Statement: [Kyocera, hasSubsidiary, Kyocera Communications]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyocera Communications
Context triple: [Kyocera, hasSubsidiary, Kyocera Communications]
  • A. Kyocera Corporation chosen
    Kyocera Corporation is a Japanese multinational electronics and ceramics manufacturer known for its printers, copiers, electronic components, and industrial materials.
  • B. Sharp Corporation
    Sharp Corporation is a Japanese multinational electronics manufacturer known for its consumer electronics, display technologies, and home appliances.
  • C. Tokyo Tsushin Kogyo
    Tokyo Tsushin Kogyo was the original name of the Japanese electronics company that later became globally known as Sony.
  • D. NTT DoCoMo
    NTT DoCoMo is Japan’s largest mobile network operator, known for pioneering advanced mobile technologies and services, including early 3G deployments.
  • E. NEC Corporation
    NEC Corporation is a Japanese multinational information technology and electronics company known for providing IT services, network solutions, and telecommunications equipment worldwide.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d581ea5881908ba78c6bf1ce58ee completed March 27, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723f12a148190adbb05782a2041b6 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:18 p.m.