Triple

T23115372
Position Surface form Disambiguated ID Type / Status
Subject St. Pölten Town Hall E576734 entity
Predicate ownedBy P347 FINISHED
Object City of St. Pölten 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: City of St. Pölten | Statement: [St. Pölten Town Hall, ownedBy, City of St. Pölten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of St. Pölten
Context triple: [St. Pölten Town Hall, ownedBy, City of St. Pölten]
  • A. St. Pölten chosen
    St. Pölten is the capital city of the Austrian state of Lower Austria, known for its baroque architecture and role as a regional administrative and cultural center.
  • B. Freistadt
    Freistadt is a historic small city in Upper Austria known for its well-preserved medieval town center and role as a local cultural and economic hub.
  • C. Klosterneuburg
    Klosterneuburg is an Austrian town near Vienna, known for its historic Augustinian monastery and wine-growing tradition along the Danube River.
  • D. Wiener Neustadt
    Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
  • E. Kapfenberg
    Kapfenberg is an industrial town in southeastern Austria known for its steel production and location in the state of Styria.
  • 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e11e9dc819093c569f388ffd46b completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:59 p.m.