Triple

T15937051
Position Surface form Disambiguated ID Type / Status
Subject Donaustadt E386464 entity
Predicate borderedBy P224 FINISHED
Object Leopoldstadt E276789 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: Leopoldstadt | Statement: [Donaustadt, borderedBy, Leopoldstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leopoldstadt
Context triple: [Donaustadt, borderedBy, Leopoldstadt]
  • A. Leopoldstadt chosen
    Leopoldstadt is Vienna’s second municipal district, known for encompassing the Prater park and its historic Jewish quarter.
  • B. The Shtetl
    The Shtetl is a work by Yiddish writer Sholem Asch that vividly portrays the life, culture, and struggles of Eastern European Jewish small-town communities.
  • C. Tales from the Vienna Woods
    Tales from the Vienna Woods is a famous waltz by Johann Strauss II that evokes the charm and atmosphere of the Viennese countryside.
  • D. The Ghetto
    "The Ghetto" is a socially conscious soul song by Donny Hathaway, celebrated for its vivid portrayal of urban life and its influential, groove-driven arrangement.
  • E. The Prague Cemetery
    The Prague Cemetery is a historical conspiracy thriller novel by Umberto Eco that explores the origins of modern antisemitism through a fictionalized account of 19th-century forgeries and secret plots.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ab7f548190b2d1aafa0e6d2c24 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b8121881909b15bf6451d3d3a8 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.