Triple

T9440795
Position Surface form Disambiguated ID Type / Status
Subject Augsburg district E227639 entity
Predicate contains P35 FINISHED
Object Diedorf
Diedorf is a market town in Bavaria, Germany, located just west of the city of Augsburg.
 E872833 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: Diedorf | Statement: [Augsburg district, contains, Diedorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Diedorf
Context triple: [Augsburg district, contains, Diedorf]
  • A. Dierdorf
    Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
  • B. Gilsdorf
    Gilsdorf is a small town in northeastern Luxembourg, known as a residential locality within the commune of Bettendorf.
  • C. Nauendorf
    Nauendorf is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
  • D. Betzdorf
    Betzdorf is a commune in eastern Luxembourg known for its residential areas, railway facilities, and the presence of Betzdorf Castle.
  • E. Karsdorf
    Karsdorf is a small municipality in the German state of Saxony-Anhalt, known for its location along the Unstrut River and its surrounding wine-growing and agricultural landscape.
  • 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: Diedorf
Triple: [Augsburg district, contains, Diedorf]
Generated description
Diedorf is a market town in Bavaria, Germany, located just west of the city of Augsburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Diedorf
Target entity description: Diedorf is a market town in Bavaria, Germany, located just west of the city of Augsburg.
  • A. Dierdorf
    Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
  • B. Gilsdorf
    Gilsdorf is a small town in northeastern Luxembourg, known as a residential locality within the commune of Bettendorf.
  • C. Nauendorf
    Nauendorf is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
  • D. Betzdorf
    Betzdorf is a commune in eastern Luxembourg known for its residential areas, railway facilities, and the presence of Betzdorf Castle.
  • E. Karsdorf
    Karsdorf is a small municipality in the German state of Saxony-Anhalt, known for its location along the Unstrut River and its surrounding wine-growing and agricultural landscape.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ee4f4a08190ada5ee14fec2b822 completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94aceb7108190beeec78587c04161 completed April 10, 2026, 7:09 p.m.
NEDg Description generation batch_69d94c6fa9ac8190819a399754d2bd15 completed April 10, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69d953440a508190a50d1897cdbeba03 completed April 10, 2026, 7:45 p.m.
Created at: March 30, 2026, 7:50 p.m.