Triple

T5021227
Position Surface form Disambiguated ID Type / Status
Subject Kinzig E112852 entity
Predicate flowsThrough P225 FINISHED
Object Gengenbach
Gengenbach is a historic town in Germany’s Black Forest region, known for its well-preserved medieval old town and picturesque half-timbered houses.
 E489546 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: Gengenbach | Statement: [Kinzig, flowsThrough, Gengenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gengenbach
Context triple: [Kinzig, flowsThrough, Gengenbach]
  • A. Gernsbach
    Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
  • B. Brackenberg
    Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
  • C. Bissingen
    Bissingen is a suburb of the town of Herbrechtingen in the state of Baden-Württemberg, Germany.
  • D. Bütgenbach
    Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
  • E. Schwarzenbach
    Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
  • 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: Gengenbach
Triple: [Kinzig, flowsThrough, Gengenbach]
Generated description
Gengenbach is a historic town in Germany’s Black Forest region, known for its well-preserved medieval old town and picturesque half-timbered houses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gengenbach
Target entity description: Gengenbach is a historic town in Germany’s Black Forest region, known for its well-preserved medieval old town and picturesque half-timbered houses.
  • A. Gernsbach
    Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
  • B. Brackenberg
    Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
  • C. Bissingen
    Bissingen is a suburb of the town of Herbrechtingen in the state of Baden-Württemberg, Germany.
  • D. Bütgenbach
    Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
  • E. Schwarzenbach
    Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd736399ac8190aa38efc4b4edc6a2 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea475eb3481909c5132b7f2d570cb completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea555c0548190a3be6d73f0319064 completed March 21, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69bea5daac00819083d142a56fa1b5fe completed March 21, 2026, 2:06 p.m.
Created at: March 20, 2026, 1:36 p.m.