Triple

T21923254
Position Surface form Disambiguated ID Type / Status
Subject Espace Mittelland E541373 entity
Predicate hasNameInItalian P17612 FINISHED
Object Spazio Mittelland 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: Spazio Mittelland | Statement: [Espace Mittelland, hasNameInItalian, Spazio Mittelland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spazio Mittelland
Context triple: [Espace Mittelland, hasNameInItalian, Spazio Mittelland]
  • A. Espace Mittelland chosen
    Espace Mittelland is a Swiss economic and planning region in the central-western part of the country, encompassing several cantons including Bern.
  • B. Mittelland
    Mittelland is a central Swiss plateau region characterized by its rolling landscapes, dense population, and economic importance between the Jura Mountains and the Alps.
  • C. Rübeland
    Rübeland is a village in the Harz Mountains of central Germany, known for its show caves and scenic natural surroundings.
  • D. Empa
    Empa is a Swiss federal research institute focused on materials science and technology, known for developing innovative solutions for industry and society.
  • E. Mittelland region
    The Mittelland region is a central Swiss plateau area characterized by rolling landscapes, dense population, and significant economic activity between the Jura Mountains and the Alps.
  • 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1233d096c8190af0d7cd21879c91b completed April 28, 2026, 9:14 p.m.
Created at: April 16, 2026, 7:45 p.m.