Triple

T21306553
Position Surface form Disambiguated ID Type / Status
Subject Vechta district E525212 entity
Predicate hasMunicipality P847 FINISHED
Object Neuenkirchen-Vörden NE NERFINISHED

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: Neuenkirchen-Vörden | Statement: [Vechta district, hasMunicipality, Neuenkirchen-Vörden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neuenkirchen-Vörden
Context triple: [Vechta district, hasMunicipality, Neuenkirchen-Vörden]
  • A. Neuenkirchen-Vörden chosen
    Neuenkirchen-Vörden is a small municipality in Lower Saxony, Germany, known for its rural character and location between the cities of Osnabrück and Bremen.
  • B. Neuenkirchen
    Neuenkirchen is a municipality in the German state of North Rhine-Westphalia, known for its rural character and location within the Münsterland region.
  • C. Lüdenscheid
    Lüdenscheid is a town in western Germany’s Sauerland region, historically noted for its role in World War II and known today for its metal and plastics industries.
  • D. Nordhorn
    Nordhorn is a town in Lower Saxony, Germany, known as the administrative center of the Grafschaft Bentheim district near the Dutch border.
  • E. Vöhrum
    Vöhrum is a village and district of the town of Peine in Lower Saxony, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa52a508190bb5dc806b6483574 completed April 21, 2026, 11:08 a.m.
Created at: April 16, 2026, 4:05 p.m.