Triple

T2538688
Position Surface form Disambiguated ID Type / Status
Subject Giant Ferris Wheel E56330 entity
Predicate location P40 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: [Giant Ferris Wheel, location, Leopoldstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leopoldstadt
Context triple: [Giant Ferris Wheel, location, Leopoldstadt]
  • A. Leopoldstadt chosen
    Leopoldstadt is Vienna’s second municipal district, known for encompassing the Prater park and its historic Jewish quarter.
  • B. Het Hogeland
    Het Hogeland is a coastal municipality in the northern Netherlands known for its open landscapes, historic villages, and Wadden Sea shoreline.
  • C. Goodbye to Berlin
    Goodbye to Berlin is a semi-autobiographical novel by Christopher Isherwood that portrays the lives of diverse characters in pre-World War II Berlin and later inspired the musical Cabaret.
  • D. We Were All Uprooted
    "We Were All Uprooted" is an atmospheric, synthesizer-driven instrumental track by Vangelis, featured on his 1973 album "Earth."
  • E. The Magician of Lublin
    The Magician of Lublin is a novel by Nobel Prize–winning author Isaac Bashevis Singer that follows a talented Jewish magician in turn-of-the-century Poland as he grapples with faith, temptation, and moral downfall.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd298fc2481908b2925bf6a06532b completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af65573c30819080a8f0235e5dd8be completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:47 p.m.