Triple

T21363639
Position Surface form Disambiguated ID Type / Status
Subject Bergheim E526848 entity
Predicate hasBorderWith P224 FINISHED
Object Seekirchen am Wallersee 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: Seekirchen am Wallersee | Statement: [Bergheim, hasBorderWith, Seekirchen am Wallersee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seekirchen am Wallersee
Context triple: [Bergheim, hasBorderWith, Seekirchen am Wallersee]
  • A. Seekirchen am Wallersee chosen
    Seekirchen am Wallersee is a small Austrian town in the state of Salzburg, known for its lakeside location on the Wallersee and its role as a local administrative and residential center.
  • B. Laakirchen
    Laakirchen is a town in Upper Austria known for its industrial heritage, particularly in paper manufacturing, and its location within the scenic Salzkammergut region.
  • C. Gumpoldskirchen
    Gumpoldskirchen is a historic wine-growing town in Lower Austria, renowned for its traditional vineyards and picturesque setting near Vienna.
  • D. Patersdorf
    Patersdorf is a small municipality in the Bavarian Forest region of southeastern Germany.
  • E. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b06cbcb481909ec9014da3b0a18a completed April 22, 2026, 11:26 a.m.
Created at: April 16, 2026, 5:08 p.m.