Triple

T9002444
Position Surface form Disambiguated ID Type / Status
Subject Nippon Electric Company E215067 entity
Predicate hasSubsidiary P254 FINISHED
Object NEC Solutions E41422 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 Solutions | Statement: [Nippon Electric Company, hasSubsidiary, NEC Solutions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NEC Solutions
Context triple: [Nippon Electric Company, hasSubsidiary, NEC Solutions]
  • A. NEC Corporation
    NEC Corporation is a Japanese multinational information technology and electronics company known for providing IT services, network solutions, and telecommunications equipment worldwide.
  • B. NEC chosen
    NEC is a major Japanese multinational information technology and electronics corporation known for producing computer hardware, telecommunications equipment, and related services.
  • C. NEC
    NEC is an NCAA Division I collegiate athletic conference primarily comprising institutions in the Northeastern United States.
  • D. 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.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6957bd5481908ce74f32f8d197de completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffd9bd544819083adf00db6a4a473 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:05 p.m.