Triple

T13013980
Position Surface form Disambiguated ID Type / Status
Subject Bernese Mittelland E322495 entity
Predicate partOf P40 FINISHED
Object Espace Mittelland E541373 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: Espace Mittelland | Statement: [Bernese Mittelland, partOf, Espace Mittelland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Espace Mittelland
Context triple: [Bernese Mittelland, partOf, Espace 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. Bütgenbach
    Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
  • C. Baselland
    Baselland is a canton in northwestern Switzerland known for its mix of industrial centers, rural landscapes, and proximity to the city of Basel.
  • D. Rixensart
    Rixensart is a municipality in Walloon Brabant, Belgium, known for its residential character and proximity to Brussels.
  • E. Meerbusch
    Meerbusch is a town in the German state of North Rhine-Westphalia, situated on the west bank of the Rhine near Düsseldorf and known for its affluent residential areas and green surroundings.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecbb8f4819094d55eb07cb5ad97 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c11290e08190a41c162d47094203 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:50 p.m.