Triple

T19716094
Position Surface form Disambiguated ID Type / Status
Subject Makartsteg E473479 entity
Predicate crosses P416 FINISHED
Object Salzach River 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: Salzach River | Statement: [Makartsteg, crosses, Salzach River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salzach River
Context triple: [Makartsteg, crosses, Salzach River]
  • 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. 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. 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.
  • D. Steyr River
    The Steyr River is a tributary in Upper Austria that flows through the town of Steyr before joining the Enns River, known for its clear waters and picturesque alpine surroundings.
  • E. 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.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6440d96288190bfb732d2f8ceac79 completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.