Triple

T5608880
Position Surface form Disambiguated ID Type / Status
Subject Leonding E147302 entity
Predicate locatedOnRiver P165 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: [Leonding, locatedOnRiver, Traun River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Traun River
Context triple: [Leonding, locatedOnRiver, 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. 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.
  • C. 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.
  • D. Steinach river
    The Steinach river is a small watercourse in southern Germany that flows through the spa town of Bad Waldsee in the state of Baden-Württemberg.
  • E. 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.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020fe7ee0819088ced51afd9a4f93 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d4876208190b8f5b5ab2ba762d8 completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:39 p.m.