Triple

T20466835
Position Surface form Disambiguated ID Type / Status
Subject Laufen E502072 entity
Predicate hasBorderRiver P225 FINISHED
Object Salzach 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 | Statement: [Laufen, hasBorderRiver, Salzach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salzach
Context triple: [Laufen, hasBorderRiver, 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 (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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995d9d1c81909ee223a35a0850ba completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.