Triple

T21900736
Position Surface form Disambiguated ID Type / Status
Subject Pasching E540799 entity
Predicate hasFootballClub P346 FINISHED
Object ASKÖ 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: ASKÖ Pasching | Statement: [Pasching, hasFootballClub, ASKÖ Pasching]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ASKÖ Pasching
Context triple: [Pasching, hasFootballClub, ASKÖ Pasching]
  • A. Spittal an der Drau
    Spittal an der Drau is a town in the Austrian state of Carinthia, situated on the River Drau and known as a regional commercial and cultural center.
  • B. Penzing
    Penzing is a district in the western part of Vienna, Austria, known for its residential areas, green spaces, and proximity to the Vienna Woods.
  • C. Patersdorf
    Patersdorf is a small municipality in the Bavarian Forest region of southeastern Germany.
  • D. Seestadt Aspern
    Seestadt Aspern is a large, master-planned urban development and lakeside residential district in Vienna, Austria, known as one of Europe’s biggest city expansion projects.
  • E. Pasching chosen
    Pasching is a small municipality in Upper Austria, near Linz, known for its shopping centers and the Waldstadion football stadium.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fcb18748190a21071c122b7e6d5 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.