Triple

T11768608
Position Surface form Disambiguated ID Type / Status
Subject Traunsee E279839 entity
Predicate inflows P4496 FINISHED
Object Traun River E276375 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: Traun River | Statement: [Traunsee, inflows, Traun River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Traun River
Context triple: [Traunsee, inflows, Traun River]
  • A. Traun River chosen
    The Traun River is a major tributary of the Danube in Austria, flowing through the Salzkammergut lake district and the state of Upper Austria.
  • B. 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.
  • 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. Salzach River
    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.
  • E. Saalach River
    The Saalach River is an Alpine river in Austria and Germany that flows through the spa town of Bad Reichenhall before joining the Salzach.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a526979c8190ad2089997906855b completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43f8a57ec8190aded70ae89aa8cf7 completed May 1, 2026, 5:52 a.m.
Created at: April 8, 2026, 9:41 p.m.