Triple

T657512
Position Surface form Disambiguated ID Type / Status
Subject Lichtenfels E11679 entity
Predicate hasSubdivision P747 FINISHED
Object Wiesen
Wiesen is a small locality that forms one of the subdivisions of the town of Lichtenfels in Germany.
 E93509 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: Wiesen | Statement: [Lichtenfels, hasSubdivision, Wiesen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wiesen
Context triple: [Lichtenfels, hasSubdivision, Wiesen]
  • A. Mossenberg-Wöhren
    Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
  • B. Erzhausen
    Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
  • C. Plauen
    Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
  • 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. Escharen
    Escharen is a village in the Dutch province of North Brabant that was formerly an independent municipality before being incorporated into a larger administrative unit.
  • 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: Wiesen
Triple: [Lichtenfels, hasSubdivision, Wiesen]
Generated description
Wiesen is a small locality that forms one of the subdivisions of the town of Lichtenfels in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wiesen
Target entity description: Wiesen is a small locality that forms one of the subdivisions of the town of Lichtenfels in Germany.
  • A. Mossenberg-Wöhren
    Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
  • B. Erzhausen
    Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
  • C. Plauen
    Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
  • 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. Escharen
    Escharen is a village in the Dutch province of North Brabant that was formerly an independent municipality before being incorporated into a larger administrative unit.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa55e048190bd9913c6c31772d0 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6787173e08190bef6734294b60c13 completed March 3, 2026, 5:58 a.m.
NEDg Description generation batch_69a678dea88081908da0e9cbea83eadd completed March 3, 2026, 5:59 a.m.
NED2 Entity disambiguation (via description) batch_69a6792c41608190867fb257ff8d5d35 completed March 3, 2026, 6:01 a.m.
Created at: March 1, 2026, 7:36 p.m.