Triple

T10442102
Position Surface form Disambiguated ID Type / Status
Subject Hof district E246193 entity
Predicate contains P35 FINISHED
Object Selbitz
Selbitz is a small town in the Upper Franconia region of Bavaria, Germany, known for its picturesque setting near the Franconian Forest.
 E863170 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: Selbitz | Statement: [Hof district, contains, Selbitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Selbitz
Context triple: [Hof district, contains, Selbitz]
  • A. Seibeld
    Seibeld is a German surname most notably borne by politician Cornelia Seibeld.
  • B. Diebitsch
    Diebitsch is the maiden surname of Josephine Diebitsch Peary, an American author and Arctic explorer known for her expeditions with her husband Robert Peary.
  • C. Schlepzig
    Schlepzig is a small village in eastern Germany known for its traditional Spreewald landscape of canals, forests, and historic rural architecture.
  • D. Bielke
    Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
  • E. Schirmitz
    Schirmitz is a small municipality in the Upper Palatinate region of Bavaria, 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: Selbitz
Triple: [Hof district, contains, Selbitz]
Generated description
Selbitz is a small town in the Upper Franconia region of Bavaria, Germany, known for its picturesque setting near the Franconian Forest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Selbitz
Target entity description: Selbitz is a small town in the Upper Franconia region of Bavaria, Germany, known for its picturesque setting near the Franconian Forest.
  • A. Seibeld
    Seibeld is a German surname most notably borne by politician Cornelia Seibeld.
  • B. Diebitsch
    Diebitsch is the maiden surname of Josephine Diebitsch Peary, an American author and Arctic explorer known for her expeditions with her husband Robert Peary.
  • C. Schlepzig
    Schlepzig is a small village in eastern Germany known for its traditional Spreewald landscape of canals, forests, and historic rural architecture.
  • D. Bielke
    Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
  • E. Schirmitz
    Schirmitz is a small municipality in the Upper Palatinate region of Bavaria, 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9ebf488190ae776bd65e94cb00 completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ed6edd88190afd5063daba58a46 completed April 10, 2026, 4:38 a.m.
NEDg Description generation batch_69d8837f98e08190bbffa535f94daf48 completed April 10, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69d889d0e70c8190953d164f34f01e47 completed April 10, 2026, 5:25 a.m.
Created at: April 6, 2026, 12:15 p.m.