Triple

T1934921
Position Surface form Disambiguated ID Type / Status
Subject NEC E41422 entity
Predicate hasSubsidiary P254 FINISHED
Object NEC Corporation of America E215068 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: NEC Corporation of America | Statement: [NEC, hasSubsidiary, NEC Corporation of America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NEC Corporation of America
Context triple: [NEC, hasSubsidiary, NEC Corporation of America]
  • A. NEC Corporation chosen
    NEC Corporation is a Japanese multinational information technology and electronics company known for providing IT services, network solutions, and telecommunications equipment worldwide.
  • B. Tokyo Tsushin Kogyo
    Tokyo Tsushin Kogyo was the original name of the Japanese electronics company that later became globally known as Sony.
  • C. NEC Research Institute
    NEC Research Institute was a prominent industrial research center in Princeton, New Jersey, known for advanced work in computer science, machine learning, and related fields.
  • D. Sharp Corporation
    Sharp Corporation is a Japanese multinational electronics manufacturer known for its consumer electronics, display technologies, and home appliances.
  • E. Toshiba
    Toshiba is a major Japanese multinational conglomerate known for its electronics, semiconductors, and information technology products and services.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb29c7be08190986df157bf5d7c9e completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb52d04819097c3df9691551aaa completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:35 p.m.