Triple

T20166173
Position Surface form Disambiguated ID Type / Status
Subject TurboExpress E491828 entity
Predicate company P4120 FINISHED
Object NEC 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 | Statement: [TurboExpress, company, NEC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NEC
Context triple: [TurboExpress, company, NEC]
  • A. 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.
  • B. NEC
    NEC is the commonly used acronym for the National Executive Council, the central decision-making cabinet of the government of Papua New Guinea.
  • C. NEC chosen
    NEC is a major Japanese multinational information technology and electronics corporation known for producing computer hardware, telecommunications equipment, and related services.
  • D. NEC
    NEC is an NCAA Division I collegiate athletic conference primarily comprising institutions in the Northeastern United States.
  • E. NEC
    NEC is the commonly used abbreviation for Pakistan’s National Economic Council, a top constitutional body responsible for guiding the country’s economic planning and development policies.
  • 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.