Triple

T22640163
Position Surface form Disambiguated ID Type / Status
Subject Kreis Oranienburg E558801 entity
Predicate borderedBy P224 FINISHED
Object Kreis Bernau 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 Bernau | Statement: [Kreis Oranienburg, borderedBy, Kreis Bernau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kreis Bernau
Context triple: [Kreis Oranienburg, borderedBy, Kreis Bernau]
  • A. Kreis Heiligenstadt
    Kreis Heiligenstadt was a rural district in the former East German state of Thuringia, administered within the Bezirk Erfurt.
  • B. Kreis Nauen chosen
    Kreis Nauen was a former administrative district in the German state of Brandenburg, historically centered around the town of Nauen and later incorporated into larger regional structures.
  • C. Kreis Ruppin
    Kreis Ruppin was a historical administrative district in the Prussian province of Brandenburg, located in northeastern Germany.
  • D. Kreis Gräfenhainichen
    Kreis Gräfenhainichen was a rural district in the former East German administrative region of Bezirk Halle.
  • E. Kreis Dippoldiswalde
    Kreis Dippoldiswalde was a former rural district in the Dresden region of Saxony, East Germany, centered around the town of Dippoldiswalde.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17010aa4c8190a9f0cf7eb4c066cd completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:04 p.m.