Triple

T19408320
Position Surface form Disambiguated ID Type / Status
Subject Ludwig Yorck von Wartenburg E485520 entity
Predicate hasPartInName P5298 FINISHED
Object Wartenburg 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: Wartenburg | Statement: [Ludwig Yorck von Wartenburg, hasPartInName, Wartenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wartenburg
Context triple: [Ludwig Yorck von Wartenburg, hasPartInName, Wartenburg]
  • A. Wartenburg chosen
    Wartenburg is the former German name of the town now known as Barczewo in northeastern Poland, historically part of East Prussia.
  • B. Schwanenburg
    Schwanenburg is a historic hilltop castle in Kleve, Germany, known for its prominent tower and its role in regional medieval and early modern history.
  • C. Wustermark
    Wustermark is a municipality in the Havelland district of Brandenburg, Germany, located west of Berlin and known for its mix of rural character and growing residential and commercial areas.
  • D. Waidberg
    Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
  • E. Hachenburg
    Hachenburg is a historic small town in the Westerwald region of Rhineland-Palatinate, Germany, known for its medieval town center and hilltop castle.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af331108190b6b25ef8f386826e completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:36 p.m.