Triple

T20640946
Position Surface form Disambiguated ID Type / Status
Subject Altmühl Valley Cycle Route E507221 entity
Predicate passesThrough P225 FINISHED
Object Pappenheim 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: Pappenheim | Statement: [Altmühl Valley Cycle Route, passesThrough, Pappenheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pappenheim
Context triple: [Altmühl Valley Cycle Route, passesThrough, Pappenheim]
  • A. Pappenheim chosen
    Pappenheim is a historic market town in Bavaria, Germany, known for its medieval architecture and its location along the Altmühl River.
  • B. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • C. Sattendorf
    Sattendorf is a lakeside village in Carinthia, Austria, known for its scenic location on the shores of Lake Ossiach and its role as a local tourist resort.
  • D. Guggenthal
    Guggenthal is a small locality near the Gaisberg mountain in the Austrian state of Salzburg.
  • E. Krottendorf
    Krottendorf is a locality that forms part of the municipality of Thalgau in the Austrian state of Salzburg.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad132ebc8190b557914cf31a9033 completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:43 a.m.