Triple

T17818751
Position Surface form Disambiguated ID Type / Status
Subject Eilenburg E444915 entity
Predicate hasSubdivision P747 FINISHED
Object Eilenburg-West 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: Eilenburg-West | Statement: [Eilenburg, hasSubdivision, Eilenburg-West]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eilenburg-West
Context triple: [Eilenburg, hasSubdivision, Eilenburg-West]
  • A. Eilenburg chosen
    Eilenburg is a small historic town in the German state of Saxony, situated on the Mulde River northeast of Leipzig.
  • B. Wilhelmsdorf
    Wilhelmsdorf is a village-level subdivision of the town of Usingen in the Hochtaunus district of Hesse, Germany.
  • C. Burg-Reuland
    Burg-Reuland is a municipality in the Belgian province of Liège, known for its historic castle ruins and location in the German-speaking region of eastern Belgium.
  • D. Osterburg
    Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
  • E. Ronsdorf
    Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488812df081909771d51c54c405fe completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:15 a.m.