Triple

T7732113
Position Surface form Disambiguated ID Type / Status
Subject Soest E175283 entity
Predicate hasSubdivision P747 FINISHED
Object Thöningsen
Thöningsen is a village-level district that forms part of the town of Soest in North Rhine-Westphalia, Germany.
 E684033 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: Thöningsen | Statement: [Soest, hasSubdivision, Thöningsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thöningsen
Context triple: [Soest, hasSubdivision, Thöningsen]
  • A. Söl'ring
    Söl'ring is a variety of the North Frisian language traditionally spoken on the German island of Sylt.
  • B. Oftringen
    Oftringen is a municipality in the canton of Aargau in northern Switzerland, known as a regional transport hub and commercial center.
  • C. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • D. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • E. Tönning
    Tönning is a historic town in northern Germany’s Schleswig-Holstein region, known for its strategic location on the Eider River and its former role as a fortified port.
  • 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: Thöningsen
Triple: [Soest, hasSubdivision, Thöningsen]
Generated description
Thöningsen is a village-level district that forms part of the town of Soest in North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thöningsen
Target entity description: Thöningsen is a village-level district that forms part of the town of Soest in North Rhine-Westphalia, Germany.
  • A. Söl'ring
    Söl'ring is a variety of the North Frisian language traditionally spoken on the German island of Sylt.
  • B. Oftringen
    Oftringen is a municipality in the canton of Aargau in northern Switzerland, known as a regional transport hub and commercial center.
  • C. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • D. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • E. Tönning
    Tönning is a historic town in northern Germany’s Schleswig-Holstein region, known for its strategic location on the Eider River and its former role as a fortified port.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70336aafc819099a060950ab8922f completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b531a7f481908e4ff7f15b851070 completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b5fbda848190b09172740371fd47 completed March 29, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69c8b675ddb0819085d79dbba560d08f completed March 29, 2026, 5:19 a.m.
Created at: March 27, 2026, 4:06 p.m.