Triple

T8713390
Position Surface form Disambiguated ID Type / Status
Subject Passau (district) E206834 entity
Predicate containsMunicipality P852 FINISHED
Object Rotthalmünster
Rotthalmünster is a market town and municipality in Lower Bavaria, Germany, known for its rural character and location within the district of Passau.
 E754923 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: Rotthalmünster | Statement: [Passau (district), containsMunicipality, Rotthalmünster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rotthalmünster
Context triple: [Passau (district), containsMunicipality, Rotthalmünster]
  • A. Niederbühl
    Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
  • B. Küsnacht
    Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
  • C. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • D. Muttenz
    Muttenz is a municipality in northern Switzerland that serves as a major suburban and industrial center in the canton of Basel-Landschaft, adjacent to the city of Basel.
  • E. Steißlingen
    Steißlingen is a municipality in the district of Konstanz in the state of Baden-Württemberg in southern 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: Rotthalmünster
Triple: [Passau (district), containsMunicipality, Rotthalmünster]
Generated description
Rotthalmünster is a market town and municipality in Lower Bavaria, Germany, known for its rural character and location within the district of Passau.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rotthalmünster
Target entity description: Rotthalmünster is a market town and municipality in Lower Bavaria, Germany, known for its rural character and location within the district of Passau.
  • A. Niederbühl
    Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
  • B. Küsnacht
    Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
  • C. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • D. Muttenz
    Muttenz is a municipality in northern Switzerland that serves as a major suburban and industrial center in the canton of Basel-Landschaft, adjacent to the city of Basel.
  • E. Steißlingen
    Steißlingen is a municipality in the district of Konstanz in the state of Baden-Württemberg in southern 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd522a88190a32facd86206af66 completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42998df88190a6eba28c2efb2030 completed April 3, 2026, 4:31 a.m.
NEDg Description generation batch_69cf448b65a88190944689160e734866 completed April 3, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_69cf4578473081909fc55632c366a56a completed April 3, 2026, 4:43 a.m.
Created at: March 30, 2026, 6:35 p.m.