Triple

T22030817
Position Surface form Disambiguated ID Type / Status
Subject Linz-Land District E544079 entity
Predicate hasMunicipality P847 FINISHED
Object Pasching 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: Pasching | Statement: [Linz-Land District, hasMunicipality, Pasching]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasching
Context triple: [Linz-Land District, hasMunicipality, Pasching]
  • A. Pasching chosen
    Pasching is a small municipality in Upper Austria, near Linz, known for its shopping centers and the Waldstadion football stadium.
  • B. Schärding
    Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
  • C. Vöcklabruck
    Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
  • D. Patersdorf
    Patersdorf is a small municipality in the Bavarian Forest region of southeastern Germany.
  • E. Sankt Veit an der Glan
    Sankt Veit an der Glan is a historic town in the Austrian state of Carinthia, known for its medieval architecture and role as a former ducal residence.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ed0cb08190aead0838cc62934c completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.