Triple

T6551912
Position Surface form Disambiguated ID Type / Status
Subject Ottenstein E151148 entity
Predicate partOf P40 FINISHED
Object Borken district E614561 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: Borken district | Statement: [Ottenstein, partOf, Borken district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borken district
Context triple: [Ottenstein, partOf, Borken district]
  • A. Borken district chosen
    Borken district is a rural administrative district in the state of North Rhine-Westphalia in western Germany, known for its small towns, agriculture, and proximity to the Dutch border.
  • B. Warendorf district
    Warendorf district is a rural administrative district in the German state of North Rhine-Westphalia, known for its agricultural landscape and equestrian traditions.
  • C. Osnabrück district
    Osnabrück district is a rural administrative district in the German state of Lower Saxony surrounding the independent city of Osnabrück.
  • D. Bergheim district
    Bergheim district is an urban area of Heidelberg, Germany, known for its mix of residential neighborhoods, commercial spaces, and university facilities including the Bergheim campus.
  • E. District of Coesfeld
    The District of Coesfeld is a rural administrative district in the German state of North Rhine-Westphalia, known for its small towns, agricultural landscape, and proximity to the city of Münster.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ae05cd988190a013226b14cd98f0 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70ae438b0819086449c169e5c7e49 completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 1:51 p.m.