Triple

T18826163
Position Surface form Disambiguated ID Type / Status
Subject Abbeville, France E460390 entity
Predicate twinnedWith P1072 FINISHED
Object Vreden, Germany 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: Vreden, Germany | Statement: [Abbeville, France, twinnedWith, Vreden, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vreden, Germany
Context triple: [Abbeville, France, twinnedWith, Vreden, Germany]
  • A. Friedberg, Germany
    Friedberg, Germany is a historic town in the state of Hesse known for its medieval architecture, including a well-preserved castle and old town center.
  • B. Bergheim, Germany
    Bergheim is a town in western Germany’s North Rhine-Westphalia known for its historic center and proximity to the Cologne metropolitan area.
  • C. Wunstorf, Germany
    Wunstorf, Germany is a town in Lower Saxony known for its historic center and nearby Steinhuder Meer lake, as well as its role as a regional transport and military airbase hub.
  • D. Verl, Germany
    Verl, Germany is a small industrial town in North Rhine-Westphalia known for its strong manufacturing sector and as the base of several major automation and technology companies.
  • E. Lübbecke, Germany
    Lübbecke is a small town in North Rhine-Westphalia, Germany, known for its location at the foot of the Wiehen Hills and its traditional brewing industry.
  • 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: Vreden, Germany
Target entity description: Vreden is a small town in the Münsterland region of North Rhine-Westphalia in western Germany, near the Dutch border.
  • A. Friedberg, Germany
    Friedberg, Germany is a historic town in the state of Hesse known for its medieval architecture, including a well-preserved castle and old town center.
  • B. Bergheim, Germany
    Bergheim is a town in western Germany’s North Rhine-Westphalia known for its historic center and proximity to the Cologne metropolitan area.
  • C. Wunstorf, Germany
    Wunstorf, Germany is a town in Lower Saxony known for its historic center and nearby Steinhuder Meer lake, as well as its role as a regional transport and military airbase hub.
  • D. Verl, Germany
    Verl, Germany is a small industrial town in North Rhine-Westphalia known for its strong manufacturing sector and as the base of several major automation and technology companies.
  • E. Lübbecke, Germany
    Lübbecke is a small town in North Rhine-Westphalia, Germany, known for its location at the foot of the Wiehen Hills and its traditional brewing industry.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6bec7b08190b040ec8b3693f037 completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:56 a.m.