Triple

T8611499
Position Surface form Disambiguated ID Type / Status
Subject SD Association E203922 entity
Predicate hasMember P10 FINISHED
Object Sharp Corporation E79661 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: Sharp Corporation | Statement: [SD Association, hasMember, Sharp Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharp Corporation
Context triple: [SD Association, hasMember, Sharp Corporation]
  • A. Sharp Corporation chosen
    Sharp Corporation is a Japanese multinational electronics manufacturer known for its consumer electronics, display technologies, and home appliances.
  • B. Tokyo Tsushin Kogyo
    Tokyo Tsushin Kogyo was the original name of the Japanese electronics company that later became globally known as Sony.
  • C. Matsushita Electric Industrial Co.
    Matsushita Electric Industrial Co., better known globally by its brand name Panasonic, is a major Japanese multinational electronics manufacturer and technology company.
  • D. NEC Corporation
    NEC Corporation is a Japanese multinational information technology and electronics company known for providing IT services, network solutions, and telecommunications equipment worldwide.
  • E. Fujitsu Limited
    Fujitsu Limited is a major Japanese multinational information and communications technology company known for its computing products, IT services, and solutions.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46fc31e08190aab5ab8f92f3315c completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28344e80819085955004a631e654 completed April 3, 2026, 2:38 a.m.
Created at: March 30, 2026, 6:25 p.m.