Triple

T21754032
Position Surface form Disambiguated ID Type / Status
Subject AT1 Eastern Austria E536988 entity
Predicate statisticalSystem P49001 FINISHED
Object NUTS 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: NUTS | Statement: [AT1 Eastern Austria, statisticalSystem, NUTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NUTS
Context triple: [AT1 Eastern Austria, statisticalSystem, NUTS]
  • A. NUTS chosen
    NUTS is the Nomenclature of Territorial Units for Statistics, a hierarchical system used to divide countries into regions for the collection, development, and harmonization of regional statistics.
  • B. NUTN
    NUTN is the abbreviation for the National University of Tainan, a public university in Tainan, Taiwan known for its teacher education and humanities programs.
  • C. NUT
    NUT is the commonly used abbreviation for Nagaoka University of Technology, a Japanese national university specializing in engineering and technology.
  • D. Nucet
    Nucet is a small town in northwestern Romania known for its location in the Apuseni Mountains region of Bihor County.
  • E. Nutt
    Nutt is a surname most notably associated with David Nutt, a British neuropsychopharmacologist known for his research on the effects of drugs on the brain and for advising on drug policy.
  • 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d8c57508190b45fb974ef0ded10 completed April 28, 2026, 2:38 a.m.
Created at: April 16, 2026, 6:50 p.m.