Triple

T14148656
Position Surface form Disambiguated ID Type / Status
Subject Deutschschweiz E350616 entity
Predicate containsCanton P5501 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: [Deutschschweiz, containsCanton, Thurgau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thurgau
Context triple: [Deutschschweiz, containsCanton, 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. Untertürkheim
    Untertürkheim is a district of Stuttgart, Germany, best known as a major hub of the Mercedes-Benz automotive industry.
  • D. Sigriswil
    Sigriswil is a municipality in the canton of Bern, Switzerland, known for its scenic location above Lake Thun and views of the surrounding Alps.
  • E. Baselland
    Baselland is a canton in northwestern Switzerland known for its mix of industrial centers, rural landscapes, and proximity to the city of Basel.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61237ef481909374c1f68a2370b7 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd2802ba608190849313ff2661cd07 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 12:55 a.m.