Triple

T20961031
Position Surface form Disambiguated ID Type / Status
Subject Bad Wildungen E516243 entity
Predicate hasCityPart P12399 FINISHED
Object Reinhardshausen
Reinhardshausen is a spa district of the German town Bad Wildungen, known for its health resorts and therapeutic facilities.
E1501755 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: Reinhardshausen | Statement: [Bad Wildungen, hasCityPart, Reinhardshausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reinhardshausen
Context triple: [Bad Wildungen, hasCityPart, Reinhardshausen]
  • A. Nennhausen
    Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
  • B. Rüdenhausen
    Rüdenhausen is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and Franconian cultural heritage.
  • C. Leutershausen
    Leutershausen is a historic small town in Bavaria, Germany, known for its well-preserved medieval character and traditional Franconian architecture.
  • D. Schneringhausen
    Schneringhausen is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
  • E. Kühnhausen
    Kühnhausen is a locality in Germany known historically as the place where Nazi education minister Bernhard Rust died.
  • 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: Reinhardshausen
Triple: [Bad Wildungen, hasCityPart, Reinhardshausen]
Generated description
Reinhardshausen is a spa district of the German town Bad Wildungen, known for its health resorts and therapeutic facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Reinhardshausen
Target entity description: Reinhardshausen is a spa district of the German town Bad Wildungen, known for its health resorts and therapeutic facilities.
  • A. Nennhausen
    Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
  • B. Rüdenhausen
    Rüdenhausen is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and Franconian cultural heritage.
  • C. Leutershausen
    Leutershausen is a historic small town in Bavaria, Germany, known for its well-preserved medieval character and traditional Franconian architecture.
  • D. Schneringhausen
    Schneringhausen is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
  • E. Kühnhausen
    Kühnhausen is a locality in Germany known historically as the place where Nazi education minister Bernhard Rust died.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6f134081908b1ed48ce708f3d5 completed April 21, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e58b8cc8190aae4127f335725d5 completed May 17, 2026, 10:16 p.m.
NEDg Description generation batch_6a0a3f5813a081909f253f04ca218559 completed May 17, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a0a400831d881909631e1accd5618f1 completed May 17, 2026, 10:24 p.m.
Created at: April 16, 2026, 1:31 p.m.