Triple

T3317578
Position Surface form Disambiguated ID Type / Status
Subject Innere Stadt E69717 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: [Innere Stadt, borderedBy, Leopoldstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leopoldstadt
Context triple: [Innere Stadt, 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 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.
  • E. Het Hogeland
    Het Hogeland is a coastal municipality in the northern Netherlands known for its open landscapes, historic villages, and Wadden Sea shoreline.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb113cb6c8190989b06476f6015fd completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3fd5440819092f6847e56c05ff8 completed March 12, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:11 p.m.