Triple

T14019597
Position Surface form Disambiguated ID Type / Status
Subject district of Unna E337292 entity
Predicate contains P35 FINISHED
Object Holzwickede E456761 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: Holzwickede | Statement: [district of Unna, contains, Holzwickede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holzwickede
Context triple: [district of Unna, contains, Holzwickede]
  • A. Holzwickede chosen
    Holzwickede is a small municipality in North Rhine-Westphalia, Germany, situated near the city of Dortmund and known for its residential character and proximity to major transport links.
  • B. Weickede
    Weickede is a village-level subdivision of the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
  • C. Osterwieck
    Osterwieck is a historic town in the German state of Saxony-Anhalt, known for its well-preserved medieval architecture and location on the northern edge of the Harz Mountains.
  • D. Nordwalde
    Nordwalde is a small municipality in North Rhine-Westphalia, Germany, known for its rural character and proximity to the city of Münster.
  • E. Willingshausen
    Willingshausen is a small municipality in central Germany known for its historic artists’ colony and rural cultural heritage.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3c7cd88190b236382058581740 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32d77108190b038e8a750738439 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.