Triple

T22751482
Position Surface form Disambiguated ID Type / Status
Subject Kreis Potsdam-Land E562710 entity
Predicate administrativeLevel P3599 FINISHED
Object Kreis 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: Kreis | Statement: [Kreis Potsdam-Land, administrativeLevel, Kreis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kreis
Context triple: [Kreis Potsdam-Land, administrativeLevel, Kreis]
  • A. Kreis
    Kreis is a surname most notably associated with Jason Kreis, a former American soccer player and coach.
  • B. Kreis Nebra
    Kreis Nebra was a former rural district in the German Democratic Republic, located in the southern part of the Bezirk Halle in what is now the state of Saxony-Anhalt.
  • C. Kruhlaye
    Kruhlaye is a small town in eastern Belarus, located within the Mogilev Region.
  • D. Landkreis chosen
    Landkreis is a German administrative district level situated between the municipal and state levels, responsible for regional governance and public services.
  • E. Ilm-Kreis district
    Ilm-Kreis district is a rural administrative district in the state of Thuringia, Germany, known for its forests, small towns, and winter sports areas.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b9ac348190bff4dc470931f7e3 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.