Triple

T5392757
Position Surface form Disambiguated ID Type / Status
Subject Wangen bei Olten E120371 entity
Predicate partOfCountrySubdivision P9315 FINISHED
Object Espace Mittelland E217964 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: [Wangen bei Olten, partOfCountrySubdivision, Espace Mittelland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Espace Mittelland
Context triple: [Wangen bei Olten, partOfCountrySubdivision, Espace Mittelland]
  • A. 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.
  • B. Baselland chosen
    Baselland is a canton in northwestern Switzerland known for its mix of industrial centers, rural landscapes, and proximity to the city of Basel.
  • C. Rixensart
    Rixensart is a municipality in Walloon Brabant, Belgium, known for its residential character and proximity to Brussels.
  • D. Rolandseck
    Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
  • E. Rübeland
    Rübeland is a village in the Harz Mountains of central Germany, known for its show caves and scenic natural 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_69bd46354c648190a38b26f107010a96 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd871b81d08190993928e2c6251226 completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3366a0588190b1e5e48be86471fe completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:04 p.m.