Triple

T22954798
Position Surface form Disambiguated ID Type / Status
Subject Saalach River E570724 entity
Predicate flowsThrough P225 FINISHED
Object Saalfelden 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: Saalfelden | Statement: [Saalach River, flowsThrough, Saalfelden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saalfelden
Context triple: [Saalach River, flowsThrough, Saalfelden]
  • A. Saalfelden chosen
    Saalfelden is an Austrian town in the state of Salzburg, known as a winter sports destination and the site of the inaugural Biathlon World Championships.
  • B. Nucingen
    Nucingen is a powerful and unscrupulous banker in Balzac’s La Comédie humaine, emblematic of the corrupt financial elite of 19th-century Paris.
  • C. Obersulm
    Obersulm is a municipality in the German state of Baden-Württemberg, known for its wine-growing areas and location near the city of Heilbronn.
  • D. Schwanau
    Schwanau is a municipality in southwestern Germany’s Baden-Württemberg region, situated near the Rhine River and the French border.
  • E. Feldstetten
    Feldstetten is a village in the Swabian Alb region of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f09de48190b55913570c965412 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:46 p.m.