Triple

T616873
Position Surface form Disambiguated ID Type / Status
Subject Quakenbrück E14423 entity
Predicate partOf P40 FINISHED
Object district of Osnabrück E22113 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: district of Osnabrück | Statement: [Quakenbrück, partOf, district of Osnabrück]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: district of Osnabrück
Context triple: [Quakenbrück, partOf, district of Osnabrück]
  • A. Osnabrück chosen
    Osnabrück is a historic city in Lower Saxony, Germany, known for its medieval architecture and role in the Peace of Westphalia.
  • B. Göttingen district
    Göttingen district is an administrative district in southern Lower Saxony, Germany, known for encompassing the university city of Göttingen and surrounding rural areas.
  • C. County of Bentheim
    The County of Bentheim is a historic territorial county in northwestern Germany, centered around the town of Bad Bentheim near the Dutch border.
  • D. County of Nassau-Siegen
    The County of Nassau-Siegen was a territorial subdivision of the medieval German County of Nassau centered around the town of Siegen and ruled by a branch of the House of Nassau.
  • E. Lüneburg
    Lüneburg is a historic Hanseatic town in northern Germany renowned for its medieval architecture and former wealth from salt mining.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e22f3688190a512bec3f0347814 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a55a77b6648190a2d07471442b401a completed March 2, 2026, 9:37 a.m.
Created at: March 1, 2026, 7:35 p.m.