Triple

T20179902
Position Surface form Disambiguated ID Type / Status
Subject Adolph Zukor E492698 entity
Predicate birthPlace P1 FINISHED
Object Ricse NE NERFINISHED

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: Ricse | Statement: [Adolph Zukor, birthPlace, Ricse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ricse
Context triple: [Adolph Zukor, birthPlace, Ricse]
  • A. Recsk
    Recsk is a village in northern Hungary known historically for its former political prison and labor camp during the communist era.
  • B. Ricse, Hungary chosen
    Ricse, Hungary is a small village in northeastern Hungary best known as the birthplace of film mogul Adolph Zukor, a founder of Paramount Pictures.
  • C. Tiszakécske
    Tiszakécske is a town in central Hungary known for its location along the Tisza River and its thermal baths.
  • D. Budakeszi
    Budakeszi is a small town in Hungary, located just west of Budapest and known for its surrounding forests and natural recreational areas.
  • E. Egerszalók
    Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668edf27881909820f9103e72533e completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.