Triple

T1934923
Position Surface form Disambiguated ID Type / Status
Subject NEC E41422 entity
Predicate hasSubsidiary P254 FINISHED
Object NEC Platforms 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 Platforms | Statement: [NEC, hasSubsidiary, NEC Platforms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NEC Platforms
Context triple: [NEC, hasSubsidiary, NEC Platforms]
  • A. NEC chosen
    NEC is a major Japanese multinational information technology and electronics corporation known for producing computer hardware, telecommunications equipment, and related services.
  • B. NEC
    NEC is an NCAA Division I collegiate athletic conference primarily comprising institutions in the Northeastern United States.
  • 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. NCP
    NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
  • E. Opsware
    Opsware was a data center automation and IT infrastructure management software company, best known for being co-founded by Marc Andreessen and later acquired by Hewlett-Packard.
  • 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_69adf3f3932081909a72d1022259359e completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.