Triple

T16479804
Position Surface form Disambiguated ID Type / Status
Subject Breisgau-Hochschwarzwald E400283 entity
Predicate contains P35 FINISHED
Object Wittnau
Wittnau is a small municipality in southwestern Germany’s Baden-Württemberg state, situated near Freiburg in the Breisgau region.
 E1217376 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: Wittnau | Statement: [Breisgau-Hochschwarzwald, contains, Wittnau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wittnau
Context triple: [Breisgau-Hochschwarzwald, contains, Wittnau]
  • A. Porrentruy
    Porrentruy is a historic town in northwestern Switzerland known for its medieval castle and role as a regional center in the canton of Jura.
  • B. Willisau
    Willisau is a historic small town in central Switzerland known for its well-preserved medieval old town and traditional cultural events.
  • C. Kesswil
    Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
  • D. Sigriswil
    Sigriswil is a municipality in the canton of Bern, Switzerland, known for its scenic location above Lake Thun and views of the surrounding Alps.
  • E. Bremgarten
    Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
  • 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: Wittnau
Triple: [Breisgau-Hochschwarzwald, contains, Wittnau]
Generated description
Wittnau is a small municipality in southwestern Germany’s Baden-Württemberg state, situated near Freiburg in the Breisgau region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wittnau
Target entity description: Wittnau is a small municipality in southwestern Germany’s Baden-Württemberg state, situated near Freiburg in the Breisgau region.
  • A. Porrentruy
    Porrentruy is a historic town in northwestern Switzerland known for its medieval castle and role as a regional center in the canton of Jura.
  • B. Willisau
    Willisau is a historic small town in central Switzerland known for its well-preserved medieval old town and traditional cultural events.
  • C. Kesswil
    Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
  • D. Sigriswil
    Sigriswil is a municipality in the canton of Bern, Switzerland, known for its scenic location above Lake Thun and views of the surrounding Alps.
  • E. Bremgarten
    Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e01f6c88190b75a0d6c94786426 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00581ebe888190a331974473f1be1a completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a0059473c088190a8c9fc757c0a3ef1 completed May 10, 2026, 10:09 a.m.
NED2 Entity disambiguation (via description) batch_6a005a457868819096e21df6944de0ff completed May 10, 2026, 10:13 a.m.
Created at: April 10, 2026, 5:13 a.m.