Triple

T12042004
Position Surface form Disambiguated ID Type / Status
Subject Nepomuk E286683 entity
Predicate hasTwinTown P919 FINISHED
Object Nittenau
Nittenau is a small town in the Bavarian district of Schwandorf in Germany, situated on the River Regen and known for its historic center and surrounding natural landscapes.
 E963105 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: Nittenau | Statement: [Nepomuk, hasTwinTown, Nittenau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nittenau
Context triple: [Nepomuk, hasTwinTown, Nittenau]
  • A. Weidenau
    Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
  • B. Tussenhausen
    Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
  • C. Tattendorf
    Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
  • D. Neudrossenfeld
    Neudrossenfeld is a municipality in the Kulmbach district of northern Bavaria, Germany, known for its rural character and Franconian cultural heritage.
  • E. Eichenau
    Eichenau is a municipality in Upper Bavaria, Germany, known as a residential suburb west of Munich within the Fürstenfeldbruck district.
  • 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: Nittenau
Triple: [Nepomuk, hasTwinTown, Nittenau]
Generated description
Nittenau is a small town in the Bavarian district of Schwandorf in Germany, situated on the River Regen and known for its historic center and surrounding natural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nittenau
Target entity description: Nittenau is a small town in the Bavarian district of Schwandorf in Germany, situated on the River Regen and known for its historic center and surrounding natural landscapes.
  • A. Weidenau
    Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
  • B. Tussenhausen
    Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
  • C. Tattendorf
    Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
  • D. Neudrossenfeld
    Neudrossenfeld is a municipality in the Kulmbach district of northern Bavaria, Germany, known for its rural character and Franconian cultural heritage.
  • E. Eichenau
    Eichenau is a municipality in Upper Bavaria, Germany, known as a residential suburb west of Munich within the Fürstenfeldbruck district.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f649dbf081908e76c45e362217c1 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fc5d6d808190ba96e08fd7d1f045 completed May 2, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_69f5fd149d9c8190a9d6e021801632d4 completed May 2, 2026, 1:33 p.m.
Created at: April 8, 2026, 9:47 p.m.