Triple

T3082538
Position Surface form Disambiguated ID Type / Status
Subject Johann Georg Albrechtsberger E64292 entity
Predicate placeOfBirth P1 FINISHED
Object Klosterneuburg E187962 NE FINISHED

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: Klosterneuburg | Statement: [Johann Georg Albrechtsberger, placeOfBirth, Klosterneuburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klosterneuburg
Context triple: [Johann Georg Albrechtsberger, placeOfBirth, Klosterneuburg]
  • A. Klosterneuburg chosen
    Klosterneuburg is an Austrian town near Vienna, known for its historic Augustinian monastery and wine-growing tradition along the Danube River.
  • B. 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.
  • C. Schärding
    Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
  • D. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • E. Wiener Neustadt
    Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e70b9081908c801d084a6ae992 completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b276df42048190bcb79277a28f866a completed March 12, 2026, 8:18 a.m.
Created at: March 8, 2026, 3:03 p.m.