Triple

T15619797
Position Surface form Disambiguated ID Type / Status
Subject Kronach E375518 entity
Predicate river P165 FINISHED
Object Hasslach
The Hasslach is a river in Bavaria, Germany, that flows through the town of Kronach and is part of the Main river basin.
 E1201517 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: Hasslach | Statement: [Kronach, river, Hasslach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hasslach
Context triple: [Kronach, river, Hasslach]
  • A. Steinlach
    Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
  • B. Schiltach
    Schiltach is a small historic town in Germany’s Black Forest region, known for its well-preserved half-timbered houses and picturesque riverside setting.
  • C. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • D. Seßlach
    Seßlach is a small, well-preserved medieval town in northern Bavaria, Germany, known for its intact city walls and historic half-timbered houses.
  • E. Waltershof
    Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
  • 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: Hasslach
Triple: [Kronach, river, Hasslach]
Generated description
The Hasslach is a river in Bavaria, Germany, that flows through the town of Kronach and is part of the Main river basin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hasslach
Target entity description: The Hasslach is a river in Bavaria, Germany, that flows through the town of Kronach and is part of the Main river basin.
  • A. Steinlach
    Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
  • B. Schiltach
    Schiltach is a small historic town in Germany’s Black Forest region, known for its well-preserved half-timbered houses and picturesque riverside setting.
  • C. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • D. Seßlach
    Seßlach is a small, well-preserved medieval town in northern Bavaria, Germany, known for its intact city walls and historic half-timbered houses.
  • E. Waltershof
    Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0007757ed48190813f6ab839240a15 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a000bd836f081909ee477fd311c3295 completed May 10, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_6a000c33963c8190a00271fb732c5b50 completed May 10, 2026, 4:40 a.m.
Created at: April 10, 2026, 4:13 a.m.