Triple

T15687364
Position Surface form Disambiguated ID Type / Status
Subject Barnim E380235 entity
Predicate hasMunicipality P847 FINISHED
Object Hohenfinow E313984 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: Hohenfinow | Statement: [Barnim, hasMunicipality, Hohenfinow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hohenfinow
Context triple: [Barnim, hasMunicipality, Hohenfinow]
  • A. Hohenfinow chosen
    Hohenfinow is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • B. Friedrichsruh
    Friedrichsruh is a small village in northern Germany best known as the estate and final residence of statesman Otto von Bismarck.
  • C. Luhe-Wildenau
    Luhe-Wildenau is a municipality in the district of Neustadt an der Waldnaab in the Upper Palatinate region of Bavaria, Germany.
  • D. Wülknitz
    Wülknitz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
  • E. Uckersee
    Uckersee is a lake in northeastern Germany’s Uckermark region, known for its natural landscapes and recreational activities such as boating and fishing.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4cee5481908699fbb2b7bdd2f6 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87611d488190857c99e166ac9e8f completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:44 a.m.