Triple

T7989191
Position Surface form Disambiguated ID Type / Status
Subject Saint Benedict Chapel E185757 entity
Predicate region P40 FINISHED
Object Surselva E566529 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: Surselva | Statement: [Saint Benedict Chapel, region, Surselva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surselva
Context triple: [Saint Benedict Chapel, region, Surselva]
  • A. Surselva chosen
    Surselva is a mountainous district in the canton of Graubünden in eastern Switzerland, known for its Romansh-speaking communities, alpine landscapes, and traditional villages.
  • B. Traun River
    The Traun River is a major tributary of the Danube in Austria, flowing through the Salzkammergut lake district and the state of Upper Austria.
  • C. Enns
    Enns is a major river in Austria that flows through the Alps and forms part of the border between Upper and Lower Austria before joining the Danube.
  • D. Eisack
    Eisack is a major river in northern Italy that flows through the South Tyrol region, including the city of Bolzano, before joining the Adige.
  • E. Wertach River
    The Wertach River is a tributary waterway in Bavaria, Germany, flowing northward through towns such as Kaufbeuren and Augsburg before joining the Lech 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4f98808190879113ad4af9bb4d completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe17811081909c19f18c853617af completed April 1, 2026, 6:41 a.m.
Created at: March 30, 2026, 5:16 p.m.