Triple

T12877808
Position Surface form Disambiguated ID Type / Status
Subject Leipzig metropolitan region E308012 entity
Predicate containsCity P294 FINISHED
Object Teuchern E782913 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: Teuchern | Statement: [Leipzig metropolitan region, containsCity, Teuchern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teuchern
Context triple: [Leipzig metropolitan region, containsCity, Teuchern]
  • A. Teuchern chosen
    Teuchern is a small town and municipality in the German state of Saxony-Anhalt, known for its rural character and location in the historical region of southern Saxony-Anhalt.
  • B. Schleprock
    Schleprock is a perpetually gloomy, bad-luck-bringing character from the Flintstones universe, best known for his catchphrase “Wowzie wow wow.”
  • C. Blautal
    Blautal is a scenic valley in Baden-Württemberg, Germany, shaped by the river Blau and known for its karst landscapes and picturesque towns.
  • D. Tegüder
    Tegüder (also known as Ahmad Tegüder) was a 13th-century Ilkhanid ruler of Persia who converted to Islam and briefly reigned as a Mongol khan.
  • E. Finklehoffe
    Finklehoffe is the surname of Fred F. Finklehoffe, an American screenwriter and film producer active in Hollywood’s mid-20th century studio era.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb83bac8190838f7537b806317c completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:38 p.m.