Triple

T10587223
Position Surface form Disambiguated ID Type / Status
Subject Kulmbach district E249884 entity
Predicate hasMunicipality P847 FINISHED
Object Trebgast
Trebgast is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its scenic surroundings and local cultural events.
E872640 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: Trebgast | Statement: [Kulmbach district, hasMunicipality, Trebgast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trebgast
Context triple: [Kulmbach district, hasMunicipality, Trebgast]
  • A. Treuburg
    Treuburg is the former German name of the town now known as Olecko, located in northeastern Poland.
  • B. Talbach
    Talbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the Basel-Landschaft region.
  • C. Tarnos
    Tarnos is a commune in southwestern France’s Landes department, known for its Atlantic coastline and proximity to the cities of Bayonne and Anglet.
  • D. Trebsen
    Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
  • E. Thalgau
    Thalgau is a municipality in the Austrian state of Salzburg, known for its scenic Alpine surroundings and proximity to the city of Salzburg.
  • 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: Trebgast
Triple: [Kulmbach district, hasMunicipality, Trebgast]
Generated description
Trebgast is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its scenic surroundings and local cultural events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trebgast
Target entity description: Trebgast is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its scenic surroundings and local cultural events.
  • A. Treuburg
    Treuburg is the former German name of the town now known as Olecko, located in northeastern Poland.
  • B. Talbach
    Talbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the Basel-Landschaft region.
  • C. Tarnos
    Tarnos is a commune in southwestern France’s Landes department, known for its Atlantic coastline and proximity to the cities of Bayonne and Anglet.
  • D. Trebsen
    Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
  • E. Thalgau
    Thalgau is a municipality in the Austrian state of Salzburg, known for its scenic Alpine surroundings and proximity to the city of Salzburg.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5276b0ae48190b2935230363239e0 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b8b1b708190865e428128f98720 completed April 10, 2026, 7:12 p.m.
NEDg Description generation batch_69d94d68f39c8190bc7ea90237a5bf5f completed April 10, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_69d9522d68b88190a63acb6d657168b4 completed April 10, 2026, 7:40 p.m.
Created at: April 6, 2026, 12:39 p.m.