Triple

T16293104
Position Surface form Disambiguated ID Type / Status
Subject Unna district E395574 entity
Predicate containsTown P847 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: [Unna district, containsTown, Holzwickede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holzwickede
Context triple: [Unna district, containsTown, 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2aee6881909fd28547f135427c completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f97895081909f22ded3507afe14 completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:05 a.m.