Triple

T18619741
Position Surface form Disambiguated ID Type / Status
Subject Filisur E455115 entity
Predicate district P2709 FINISHED
Object Albula District 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: Albula District | Statement: [Filisur, district, Albula District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albula District
Context triple: [Filisur, district, Albula District]
  • A. Albula region chosen
    The Albula region is an administrative district in the canton of Graubünden in eastern Switzerland, known for its alpine landscapes, Romansh-speaking communities, and the UNESCO-listed Albula railway line.
  • B. Surselva District
    Surselva District is an administrative district in the canton of Graubünden in eastern Switzerland, known for its Romansh-speaking communities and Alpine landscapes.
  • C. Sursee District
    Sursee District is an administrative district in the canton of Lucerne in central Switzerland, encompassing the town of Sursee and surrounding municipalities.
  • D. Zofingen District
    Zofingen District is an administrative district in the Swiss canton of Aargau, centered around the town of Zofingen and comprising several surrounding municipalities.
  • E. 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.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f00889c8190931f8d3fbabd531b completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.