Triple

T3917453
Position Surface form Disambiguated ID Type / Status
Subject Murg E88875 entity
Predicate flowsThrough P225 FINISHED
Object 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.
E416507 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: Gernsbach | Statement: [Murg, flowsThrough, Gernsbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gernsbach
Context triple: [Murg, flowsThrough, Gernsbach]
  • A. Emsbach
    Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
  • B. Miesbach
    Miesbach is a historic town in southern Germany known for its traditional Bavarian culture and picturesque Alpine foothill setting.
  • C. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • D. Aschering
    Aschering is a village-level subdivision of the municipality of Pöcking in Bavaria, Germany.
  • E. Hunspach
    Hunspach is a picturesque village in northeastern France’s Alsace region, noted for its traditional half-timbered houses and designation as one of the “Most Beautiful Villages of France.”
  • 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: Gernsbach
Triple: [Murg, flowsThrough, Gernsbach]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gernsbach
Target entity description: 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.
  • A. Emsbach
    Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
  • B. Miesbach
    Miesbach is a historic town in southern Germany known for its traditional Bavarian culture and picturesque Alpine foothill setting.
  • C. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • D. Aschering
    Aschering is a village-level subdivision of the municipality of Pöcking in Bavaria, Germany.
  • E. Hunspach
    Hunspach is a picturesque village in northeastern France’s Alsace region, noted for its traditional half-timbered houses and designation as one of the “Most Beautiful Villages of France.”
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed5797508190adaddb84575d9bb3 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f0ebb588190bb7a935e066f9e4b completed March 14, 2026, 3:30 p.m.
NEDg Description generation batch_69b57f658e8081908a854ff8f06dd554 completed March 14, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_69b57fbc18008190aa62be6296f108da completed March 14, 2026, 3:33 p.m.
Created at: March 9, 2026, 3:22 p.m.