Triple

T2936280
Position Surface form Disambiguated ID Type / Status
Subject Artland Arena E79276 entity
Predicate locatedIn P40 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: [Artland Arena, locatedIn, Quakenbrück]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quakenbrück
Context triple: [Artland Arena, locatedIn, 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. Seebruck
    Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
  • D. Rammenau
    Rammenau is a village in Saxony, Germany, best known as the birthplace of the influential German philosopher Johann Gottlieb Fichte.
  • E. Röcken
    Röcken is a small village in Saxony-Anhalt, Germany, best known as the birthplace of the philosopher Friedrich Nietzsche.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad983df5e08190939cd8acf8ad5b55 completed March 8, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108d4e5408190a0dd3728c5cf6a47 completed March 11, 2026, 6:16 a.m.
Created at: March 8, 2026, 2:56 p.m.