Triple

T12968526
Position Surface form Disambiguated ID Type / Status
Subject Kamenz E321330 entity
Predicate governedBy P46 FINISHED
Object town council of Kamenz E321330 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: town council of Kamenz | Statement: [Kamenz, governedBy, town council of Kamenz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town council of Kamenz
Context triple: [Kamenz, governedBy, town council of Kamenz]
  • A. Kamenz chosen
    Kamenz is a small town in eastern Germany best known as the birthplace of the Enlightenment writer and philosopher Gotthold Ephraim Lessing.
  • B. Kamen (Germany)
    Kamen is a town in the German state of North Rhine-Westphalia, known historically for its coal mining and its location in the eastern Ruhr area.
  • C. Markneukirchen
    Markneukirchen is a small German town in Saxony renowned for its centuries-old tradition of crafting high-quality string instruments and other musical instruments.
  • D. Lankwitz
    Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
  • E. Karlshagen
    Karlshagen is a seaside resort village on the Baltic coast of northeastern Germany, located on the island of Usedom and known for its sandy beaches and tourism.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e407e5081909424fc0c22483c28 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e6b31c8190b09276003f284f25 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:33 p.m.