Triple

T9587883
Position Surface form Disambiguated ID Type / Status
Subject Continente E231336 entity
Predicate statisticalSystem P49001 FINISHED
Object NUTS E402104 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: NUTS | Statement: [Continente, statisticalSystem, NUTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NUTS
Context triple: [Continente, 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. NUT
    NUT is the commonly used abbreviation for Nagaoka University of Technology, a Japanese national university specializing in engineering and technology.
  • C. 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.
  • D. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • E. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99f01ca08190afaa44645a58e918 completed April 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1618251c48190886190975dfde5ac completed April 4, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:06 p.m.