Triple

T21820145
Position Surface form Disambiguated ID Type / Status
Subject Treuenbrietzen E538703 entity
Predicate hasSubdivision P747 FINISHED
Object Welsigke
Welsigke is a small locality within the town of Treuenbrietzen in the German state of Brandenburg.
E1503664 NE FINISHED

How this triple was built (4 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: Welsigke | Statement: [Treuenbrietzen, hasSubdivision, Welsigke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Welsigke
Context triple: [Treuenbrietzen, hasSubdivision, Welsigke]
  • A. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • B. Taugwalder
    Taugwalder is a Swiss mountaineering family name best known from the 19th-century Alpine guide Peter Taugwalder, associated with early ascents of the Matterhorn.
  • C. Wirsberg
    Wirsberg is a small market town in the Upper Franconia region of Bavaria, Germany, known for its scenic location in the Franconian Forest and its historic architecture.
  • D. Wielenbach
    Wielenbach is a small municipality in the Upper Bavarian region of Germany, situated within the district of Weilheim-Schongau.
  • E. Wiembeck
    Wiembeck is a district or locality within the town of Lemgo in North Rhine-Westphalia, Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Welsigke
Triple: [Treuenbrietzen, hasSubdivision, Welsigke]
Generated description
Welsigke is a small locality within the town of Treuenbrietzen in the German state of Brandenburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Welsigke
Target entity description: Welsigke is a small locality within the town of Treuenbrietzen in the German state of Brandenburg.
  • A. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • B. Taugwalder
    Taugwalder is a Swiss mountaineering family name best known from the 19th-century Alpine guide Peter Taugwalder, associated with early ascents of the Matterhorn.
  • C. Wirsberg
    Wirsberg is a small market town in the Upper Franconia region of Bavaria, Germany, known for its scenic location in the Franconian Forest and its historic architecture.
  • D. Wielenbach
    Wielenbach is a small municipality in the Upper Bavarian region of Germany, situated within the district of Weilheim-Schongau.
  • E. Wiembeck
    Wiembeck is a district or locality within the town of Lemgo in North Rhine-Westphalia, Germany.
  • F. None of above. chosen

Provenance (5 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cce0b8081909e20ded72db40304 completed April 28, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a45e136f08190b75f895cbc035db2 completed May 17, 2026, 10:49 p.m.
NEDg Description generation batch_6a0a46e25f28819099e0464dddb50a11 completed May 17, 2026, 10:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0a47957ec881909412730af07fff1e completed May 17, 2026, 10:56 p.m.
Created at: April 16, 2026, 6:54 p.m.