Triple

T5490121
Position Surface form Disambiguated ID Type / Status
Subject Osnabrück district E123679 entity
Predicate contains P35 FINISHED
Object Quakenbrück E14423 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: Quakenbrück | Statement: [Osnabrück district, contains, Quakenbrück]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quakenbrück
Context triple: [Osnabrück district, contains, Quakenbrück]
  • A. Quakenbrück chosen
    Quakenbrück is a small historic town in Lower Saxony, Germany, known for its medieval architecture and location in the Artland region.
  • B. Warthbrücken
    Warthbrücken is the German name for the Polish town of Koło, located in central Poland on the Warta River.
  • C. Bersenbrück
    Bersenbrück is a small town in Lower Saxony, Germany, known for its historic abbey and its location on the river Hase.
  • D. Seebruck
    Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
  • E. Schwibbogen
    A Schwibbogen is a traditional German decorative candle arch, typically made of wood and displayed in windows during the Christmas season, especially in the Ore Mountains region.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd927dcb848190a9d31e2435f8a755 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c884c0c8190b2f8345a5017c71f completed March 22, 2026, 4:14 a.m.
Created at: March 20, 2026, 2:10 p.m.