Triple

T7251513
Position Surface form Disambiguated ID Type / Status
Subject District of Vechta E157611 entity
Predicate hasMunicipality P847 FINISHED
Object Neuenkirchen-Vörden E522570 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: Neuenkirchen-Vörden | Statement: [District of Vechta, hasMunicipality, Neuenkirchen-Vörden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neuenkirchen-Vörden
Context triple: [District of Vechta, 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. 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.
  • C. Bentheim
    Bentheim is a historical county in Lower Saxony, Germany, known for its Reformed Protestant heritage and the former County of Bentheim.
  • D. Nienburg
    Nienburg is a historic town in Lower Saxony, Germany, known for its medieval architecture and scenic location along the Weser River.
  • E. Meppen
    Meppen is a historic town in Lower Saxony, Germany, known as a regional center in the Emsland district near the Dutch border.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea7ae0e48190bd80c91bad1976c6 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3a7502081909d2a97a60cc445ae completed March 28, 2026, 1:12 p.m.
Created at: March 27, 2026, 2:56 p.m.