Triple

T20483283
Position Surface form Disambiguated ID Type / Status
Subject Rupertiwinkel E502518 entity
Predicate containsSettlement P847 FINISHED
Object Saaldorf-Surheim 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: Saaldorf-Surheim | Statement: [Rupertiwinkel, containsSettlement, Saaldorf-Surheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saaldorf-Surheim
Context triple: [Rupertiwinkel, containsSettlement, Saaldorf-Surheim]
  • A. Saaldorf-Surheim chosen
    Saaldorf-Surheim is a rural municipality in southeastern Bavaria, Germany, near the Austrian border, known for its agricultural landscape and proximity to the Alps.
  • B. Sausheim
    Sausheim is a commune in the Haut-Rhin department of the Grand Est region in northeastern France, situated near the city of Mulhouse.
  • C. Bergheim
    Bergheim is a municipality in the Austrian state of Salzburg, located just north of the city of Salzburg and known for its suburban character and proximity to the regional capital.
  • D. Bergheim
    Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne region.
  • E. Kaulsdorf
    Kaulsdorf is a residential locality in eastern Berlin, Germany, known for its mix of historic village center and post-war housing estates.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b58c4b4819083d0ba2397dbfb0b completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.