Triple

T15048190
Position Surface form Disambiguated ID Type / Status
Subject 2002 European floods E379285 entity
Predicate mainRiverAffected P75568 FINISHED
Object Salzach E151401 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: Salzach | Statement: [2002 European floods, mainRiverAffected, Salzach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salzach
Context triple: [2002 European floods, mainRiverAffected, Salzach]
  • A. Salzach River chosen
    The Salzach River is a major river in Austria and Germany that flows through the city of Salzburg and forms part of the border between the two countries.
  • B. Traisen
    Traisen is a river in northeastern Austria that flows through Lower Austria before joining the Danube.
  • C. Wiesent
    The Wiesent is a river in Upper Franconia, Bavaria, known for flowing through the scenic Franconian Switzerland region and offering popular spots for canoeing and fishing.
  • D. 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.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8e64e48190873104a02a676ff3 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fec878c52c8190bf010b1fd4d21f65 completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3 a.m.