Triple

T10988132
Position Surface form Disambiguated ID Type / Status
Subject Haßberge (district) E259683 entity
Predicate contains P35 FINISHED
Object Bundorf
Bundorf is a small municipality in northern Bavaria, Germany, situated in the rural Haßberge region of the Franconia area.
E913761 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: Bundorf | Statement: [Haßberge (district), contains, Bundorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundorf
Context triple: [Haßberge (district), contains, Bundorf]
  • A. Betzdorf
    Betzdorf is a commune in eastern Luxembourg known for its residential areas, railway facilities, and the presence of Betzdorf Castle.
  • B. Dierdorf
    Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
  • C. Nordendorf
    Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
  • D. Biendorf
    Biendorf is a small municipality in northern Germany notable as the birthplace of German Field Marshal Helmuth von Moltke the Younger.
  • E. Breckerfeld
    Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
  • 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: Bundorf
Triple: [Haßberge (district), contains, Bundorf]
Generated description
Bundorf is a small municipality in northern Bavaria, Germany, situated in the rural Haßberge region of the Franconia area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bundorf
Target entity description: Bundorf is a small municipality in northern Bavaria, Germany, situated in the rural Haßberge region of the Franconia area.
  • A. Betzdorf
    Betzdorf is a commune in eastern Luxembourg known for its residential areas, railway facilities, and the presence of Betzdorf Castle.
  • B. Dierdorf
    Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
  • C. Nordendorf
    Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
  • D. Biendorf
    Biendorf is a small municipality in northern Germany notable as the birthplace of German Field Marshal Helmuth von Moltke the Younger.
  • E. Breckerfeld
    Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b574d08190adec34b814a26437 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4cbe9da2081908641b229bc2e648d completed April 19, 2026, 12:34 p.m.
NEDg Description generation batch_69e4d9e87508819080932fac06fb754d completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4dda28b0081909245b65faae3533b completed April 19, 2026, 1:50 p.m.
Created at: April 8, 2026, 9:24 p.m.