Triple

T20748788
Position Surface form Disambiguated ID Type / Status
Subject Zell am See District E510661 entity
Predicate contains P35 FINISHED
Object Piesendorf 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: Piesendorf | Statement: [Zell am See District, contains, Piesendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piesendorf
Context triple: [Zell am See District, contains, Piesendorf]
  • A. Piesendorf chosen
    Piesendorf is a small Austrian municipality in the Zell am See district of Salzburg, known for its Alpine scenery and proximity to major ski and hiking areas.
  • B. Priesendorf
    Priesendorf is a small municipality in the Haßberge district of Bavaria, Germany, known for its rural character and Franconian countryside setting.
  • C. Pfaffendorf
    Pfaffendorf is a district of the German city of Koblenz, situated on the east bank of the Rhine River.
  • D. Pottendorf
    Pottendorf is a market town in Lower Austria known for its historic castle and location within the Baden district.
  • E. Deutschendorf
    Deutschendorf is the original surname of American singer-songwriter and environmental activist John Denver, known for hits like "Take Me Home, Country Roads."
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c228af288190a20829d45c034c24 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:34 p.m.