Triple

T3297973
Position Surface form Disambiguated ID Type / Status
Subject Breg E69261 entity
Predicate flowsThrough P225 FINISHED
Object Vöhrenbach
Vöhrenbach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional clockmaking heritage.
 E357460 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: Vöhrenbach | Statement: [Breg, flowsThrough, Vöhrenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vöhrenbach
Context triple: [Breg, flowsThrough, Vöhrenbach]
  • A. Büchenbach
    Büchenbach is a district of the Bavarian city of Erlangen, known primarily as a residential area with local amenities and green spaces.
  • B. Hilchenbach
    Hilchenbach is a small town in the Siegerland region of North Rhine-Westphalia, Germany, known for its wooded hills and proximity to the Rothaar Mountains.
  • C. Lüßbach
    Lüßbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
  • D. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • E. Egelsbach
    Egelsbach is a municipality in the German state of Hesse, located between Frankfurt am Main and Darmstadt and known for its general aviation airfield.
  • 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: Vöhrenbach
Triple: [Breg, flowsThrough, Vöhrenbach]
Generated description
Vöhrenbach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional clockmaking heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vöhrenbach
Target entity description: Vöhrenbach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional clockmaking heritage.
  • A. Büchenbach
    Büchenbach is a district of the Bavarian city of Erlangen, known primarily as a residential area with local amenities and green spaces.
  • B. Hilchenbach
    Hilchenbach is a small town in the Siegerland region of North Rhine-Westphalia, Germany, known for its wooded hills and proximity to the Rothaar Mountains.
  • C. Lüßbach
    Lüßbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
  • D. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • E. Egelsbach
    Egelsbach is a municipality in the German state of Hesse, located between Frankfurt am Main and Darmstadt and known for its general aviation airfield.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a2f4708190821edb9700f62d2f completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35458a1248190b11e6756dfc318b7 completed March 13, 2026, 12:03 a.m.
NEDg Description generation batch_69b358312fc881908d0f56ab1f56e78c completed March 13, 2026, 12:20 a.m.
NED2 Entity disambiguation (via description) batch_69b358e305548190b861e5ecbb59fa56 completed March 13, 2026, 12:22 a.m.
Created at: March 8, 2026, 3:10 p.m.