Triple

T12710766
Position Surface form Disambiguated ID Type / Status
Subject Persenbeug-Gottsdorf E303710 entity
Predicate hasSubdivision P747 FINISHED
Object Weinzierl E822988 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: Weinzierl | Statement: [Persenbeug-Gottsdorf, hasSubdivision, Weinzierl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weinzierl
Context triple: [Persenbeug-Gottsdorf, hasSubdivision, Weinzierl]
  • A. Weinzierl chosen
    Weinzierl is a district or locality within the Austrian city of Krems an der Donau.
  • B. Reichleitner
    Reichleitner is a German-language surname most notably associated with Franz Reichleitner, an Austrian SS officer and commandant of the Sobibor extermination camp during World War II.
  • C. Eberl
    Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
  • D. Pölzl
    Pölzl is the maiden surname of Klara Hitler, the mother of Adolf Hitler.
  • E. Nitzschka
    Nitzschka is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96207b2d881908314efc3e350aa78 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b8f43081909d4a8e4241c813a1 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:23 p.m.