Triple

T20459292
Position Surface form Disambiguated ID Type / Status
Subject DE40 (Brandenburg) E501879 entity
Predicate containsMunicipality P852 FINISHED
Object Prenzlau 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: Prenzlau | Statement: [DE40 (Brandenburg), containsMunicipality, Prenzlau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prenzlau
Context triple: [DE40 (Brandenburg), containsMunicipality, Prenzlau]
  • A. Prenzlau chosen
    Prenzlau is a historic town in northeastern Germany’s Brandenburg region, known for its medieval architecture and role as a regional administrative center.
  • B. Prenzlau
    Prenzlau is a rural locality and small town in Queensland, Australia, situated within the Somerset Region and known for its agricultural character.
  • C. Elsterwerda
    Elsterwerda is a small town in the state of Brandenburg in eastern Germany, known for its regional railway connections and location near the Elbe-Elster district.
  • D. Züssow
    Züssow is a small railway junction village in northeastern Germany that serves as a key transfer point between regional trains and the Usedomer Bäderbahn line to the Baltic Sea island of Usedom.
  • E. Crimmitschau
    Crimmitschau is a town in the German state of Saxony, historically known for its textile industry and located within the broader Leipzig metropolitan area.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a4652c8190acf79fa2e285e436 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.