Triple

T20341353
Position Surface form Disambiguated ID Type / Status
Subject Wolhusen E495747 entity
Predicate district P2709 FINISHED
Object Entlebuch District NE NERFINISHED

How this triple was built (3 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: Entlebuch District | Statement: [Wolhusen, district, Entlebuch District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Entlebuch District
Context triple: [Wolhusen, district, Entlebuch District]
  • A. Sursee District
    Sursee District is an administrative district in the canton of Lucerne in central Switzerland, encompassing the town of Sursee and surrounding municipalities.
  • B. Bremgarten District
    Bremgarten District is an administrative district in the Swiss canton of Aargau, known for its historic town of Bremgarten and its location along the Reuss River.
  • C. Obwalden district
    Obwalden district is an administrative region in central Switzerland within the canton of Obwalden, known for its mountainous landscapes and lakes.
  • D. Thun District
    Thun District is an administrative district in the canton of Bern, Switzerland, centered around the city of Thun and encompassing several municipalities along Lake Thun and the surrounding region.
  • E. Hinterrhein District
    Hinterrhein District was an administrative district in the canton of Graubünden in southeastern Switzerland, known for its Alpine valleys, small mountain communities, and location along the upper Rhine (Hinterrhein) river.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Entlebuch District
Target entity description: Entlebuch District is a rural administrative district in the canton of Lucerne, Switzerland, known for its UNESCO-recognized biosphere reserve of pre-Alpine moorlands and karst landscapes.
  • A. Sursee District
    Sursee District is an administrative district in the canton of Lucerne in central Switzerland, encompassing the town of Sursee and surrounding municipalities.
  • B. Bremgarten District
    Bremgarten District is an administrative district in the Swiss canton of Aargau, known for its historic town of Bremgarten and its location along the Reuss River.
  • C. Obwalden district
    Obwalden district is an administrative region in central Switzerland within the canton of Obwalden, known for its mountainous landscapes and lakes.
  • D. Thun District
    Thun District is an administrative district in the canton of Bern, Switzerland, centered around the city of Thun and encompassing several municipalities along Lake Thun and the surrounding region.
  • E. Hinterrhein District
    Hinterrhein District was an administrative district in the canton of Graubünden in southeastern Switzerland, known for its Alpine valleys, small mountain communities, and location along the upper Rhine (Hinterrhein) river.
  • F. None of above. chosen

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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67835f6e881908834dda06cf66c50 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:23 a.m.