Triple

T11622668
Position Surface form Disambiguated ID Type / Status
Subject Appenzell E276175 entity
Predicate borderedBy P224 FINISHED
Object Thurgau E285688 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: Thurgau | Statement: [Appenzell, borderedBy, Thurgau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thurgau
Context triple: [Appenzell, borderedBy, Thurgau]
  • A. Thurgau chosen
    Thurgau is a canton in northeastern Switzerland known for its agriculture, particularly apple orchards and vineyards, and its location along Lake Constance.
  • B. Glarus
    Glarus is a mountainous canton in eastern Switzerland known for its alpine landscapes, textile industry history, and early adoption of progressive democratic reforms.
  • 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. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • E. Brugg District
    Brugg District is an administrative district in the canton of Aargau in northern Switzerland, known for its historic town of Brugg and its location along the Aare River.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a122a3708190ab6513dad4c4fde7 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee8762586481909a4b563c827487e0 completed April 26, 2026, 9:45 p.m.
Created at: April 8, 2026, 9:39 p.m.