Triple

T21996221
Position Surface form Disambiguated ID Type / Status
Subject Kreis Jüterbog E543212 entity
Predicate capital P234 FINISHED
Object Jüterbog 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: Jüterbog | Statement: [Kreis Jüterbog, capital, Jüterbog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jüterbog
Context triple: [Kreis Jüterbog, capital, Jüterbog]
  • A. Jüterbog chosen
    Jüterbog is a historic town in the German state of Brandenburg, known for its medieval architecture and long-standing cultural heritage.
  • B. Zerbst
    Zerbst is a historic town in Saxony-Anhalt, Germany, known as the birthplace of Catherine the Great and for its former role as a princely residence.
  • C. Zerbst
    Zerbst is a party in the landmark U.S. Supreme Court case Johnson v. Zerbst, which established the federal constitutional right to counsel for indigent defendants in criminal prosecutions.
  • D. Oranienburg
    Oranienburg is a town in Brandenburg, Germany, historically known as the site of the Nazi Sachsenhausen concentration camp.
  • E. Wedemark
    Wedemark is a municipality in Lower Saxony, Germany, located north of Hanover and known for its semi-rural character and commuter links to the city.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276493bc81908567445e901bc3a7 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.