Triple

T20166130
Position Surface form Disambiguated ID Type / Status
Subject TurboExpress E491828 entity
Predicate manufacturer P490 FINISHED
Object NEC Home Electronics NE NERFINISHED

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 Home Electronics | Statement: [TurboExpress, manufacturer, NEC Home Electronics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NEC Home Electronics
Context triple: [TurboExpress, manufacturer, NEC Home Electronics]
  • A. Panasonic Homes
    Panasonic Homes is a Japanese homebuilding and real estate development company known for its prefabricated housing and smart, energy-efficient residential solutions.
  • B. N.E.C.
    N.E.C. is a professional football club from Nijmegen in the Netherlands that competes in the Dutch league system.
  • C. NEC
    NEC is the commonly used acronym for the National Executive Council, the central decision-making cabinet of the government of Papua New Guinea.
  • D. NEC
    NEC is the commonly used acronym for Nigeria’s National Electoral Commission, the federal body responsible for organizing and overseeing elections in the country.
  • E. NEC chosen
    NEC is a major Japanese multinational information technology and electronics corporation known for producing computer hardware, telecommunications equipment, and related services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e668442d2c81908bb1a0fac9895b5e completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.