Triple

T591963
Position Surface form Disambiguated ID Type / Status
Subject NEC Research Institute E17291 entity
Predicate sponsor P67 FINISHED
Object NEC Corporation 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 Corporation | Statement: [NEC Research Institute, sponsor, NEC Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NEC Corporation
Context triple: [NEC Research Institute, sponsor, NEC Corporation]
  • A. Tokyo Tsushin Kogyo
    Tokyo Tsushin Kogyo was the original name of the Japanese electronics company that later became globally known as Sony.
  • B. 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.
  • C. Toshiba
    Toshiba is a major Japanese multinational conglomerate known for its electronics, semiconductors, and information technology products and services.
  • D. NEC chosen
    NEC is a major Japanese multinational information technology and electronics corporation known for producing computer hardware, telecommunications equipment, and related services.
  • E. Carrier Corporation
    Carrier Corporation is a leading global manufacturer of heating, ventilation, air conditioning (HVAC), and refrigeration systems.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bbaf53081908eed240bed09f63b completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5216e11248190a8c564a482d649a6 completed March 2, 2026, 5:34 a.m.
Created at: March 1, 2026, 7:33 p.m.