Triple

T13025211
Position Surface form Disambiguated ID Type / Status
Subject Ahrensfelde E326286 entity
Predicate locatedIn P40 FINISHED
Object Barnim (district) E78857 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: Barnim (district) | Statement: [Ahrensfelde, locatedIn, Barnim (district)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barnim (district)
Context triple: [Ahrensfelde, locatedIn, Barnim (district)]
  • A. Barnim (district) chosen
    Barnim is a rural district in the state of Brandenburg in northeastern Germany, located just outside Berlin and known for its forests, lakes, and protected natural areas.
  • B. Ostprignitz-Ruppin
    Ostprignitz-Ruppin is a rural district in the German state of Brandenburg, known for its lakes, forests, and historic towns such as Neuruppin.
  • C. Strausberg
    Strausberg is a town in Brandenburg, Germany, historically notable as a military center and former base of the East German Air Force.
  • D. District of Gifhorn
    The District of Gifhorn is an administrative district in Lower Saxony, Germany, known for its mix of rural landscapes, small towns, and proximity to the Lüneburg Heath region.
  • E. Jüterbog
    Jüterbog is a historic town in the German state of Brandenburg, known for its medieval architecture and long-standing cultural heritage.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efac71881908a21d70c3c6ce099 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c11c1f6c8190be1c570a7e44a313 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:53 p.m.