Triple

T9728054
Position Surface form Disambiguated ID Type / Status
Subject district of Altötting E235664 entity
Predicate contains P35 FINISHED
Object Tann
Tann is a small municipality in Bavaria, Germany, known for its rural character within the district of Altötting.
 E816641 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: Tann | Statement: [district of Altötting, contains, Tann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tann
Context triple: [district of Altötting, contains, Tann]
  • A. Tann
    Tann is a small municipality in the Rottal-Inn district of Bavaria, Germany, known for its rural character and proximity to the town of Simbach am Inn.
  • B. Tannat
    Tannat is a robust, tannin-rich red wine grape variety traditionally associated with southwestern France and now also widely grown in Uruguay and other New World regions.
  • C. Tannay
    Tannay is a small lakeside municipality in the canton of Vaud in western Switzerland, situated on the shores of Lake Geneva.
  • D. Tanneron
    Tanneron is a commune in southeastern France’s Var department, known for its hilly landscapes and extensive mimosa forests overlooking the Mediterranean hinterland.
  • E. Talbach
    Talbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the Basel-Landschaft region.
  • 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: Tann
Triple: [district of Altötting, contains, Tann]
Generated description
Tann is a small municipality in Bavaria, Germany, known for its rural character within the district of Altötting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tann
Target entity description: Tann is a small municipality in Bavaria, Germany, known for its rural character within the district of Altötting.
  • A. Tann
    Tann is a small municipality in the Rottal-Inn district of Bavaria, Germany, known for its rural character and proximity to the town of Simbach am Inn.
  • B. Tannat
    Tannat is a robust, tannin-rich red wine grape variety traditionally associated with southwestern France and now also widely grown in Uruguay and other New World regions.
  • C. Tannay
    Tannay is a small lakeside municipality in the canton of Vaud in western Switzerland, situated on the shores of Lake Geneva.
  • D. Tanneron
    Tanneron is a commune in southeastern France’s Var department, known for its hilly landscapes and extensive mimosa forests overlooking the Mediterranean hinterland.
  • E. Talbach
    Talbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the Basel-Landschaft region.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e7af544819090a8a1adec41943c completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fb208a48190864f8f085da83db7 completed April 4, 2026, 11:33 p.m.
NEDg Description generation batch_69d1a1057e0c819096cc0984c9a83bb9 completed April 4, 2026, 11:38 p.m.
NED2 Entity disambiguation (via description) batch_69d1a184af3081908ce2932218244e7d completed April 4, 2026, 11:40 p.m.
Created at: March 30, 2026, 8:21 p.m.