Triple

T17767883
Position Surface form Disambiguated ID Type / Status
Subject Löstertal E443556 entity
Predicate partOf P40 FINISHED
Object town of Wadern NE NERFINISHED

How this triple was built (3 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: town of Wadern | Statement: [Löstertal, partOf, town of Wadern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Wadern
Context triple: [Löstertal, partOf, town of Wadern]
  • A. Rodewisch
    Rodewisch is a small town in the Vogtland region of Saxony, Germany, known for its scenic surroundings and local industry.
  • B. Wolfach
    Wolfach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its traditional glassmaking and picturesque setting along the Kinzig River.
  • C. Würselen
    Würselen is a town in western Germany’s state of North Rhine-Westphalia, located near the city of Aachen and known historically for its mining and industrial heritage.
  • D. Willebadessen
    Willebadessen is a small town in western Germany, located in the state of North Rhine-Westphalia.
  • E. Waldstadt
    Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: town of Wadern
Target entity description: The town of Wadern is a municipality in the Saarland region of Germany, known for its rural character and several incorporated villages.
  • A. Rodewisch
    Rodewisch is a small town in the Vogtland region of Saxony, Germany, known for its scenic surroundings and local industry.
  • B. Wolfach
    Wolfach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its traditional glassmaking and picturesque setting along the Kinzig River.
  • C. Würselen
    Würselen is a town in western Germany’s state of North Rhine-Westphalia, located near the city of Aachen and known historically for its mining and industrial heritage.
  • D. Willebadessen
    Willebadessen is a small town in western Germany, located in the state of North Rhine-Westphalia.
  • E. Waldstadt
    Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
  • F. None of above. chosen

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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fd8aa081909c8ee9264af15c69 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.