Triple

T13412710
Position Surface form Disambiguated ID Type / Status
Subject Hunsrück E320128 entity
Predicate hasRiver P165 FINISHED
Object Simmerbach
Simmerbach is a river in the Hunsrück region of Rhineland-Palatinate in western Germany.
E1038890 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: Simmerbach | Statement: [Hunsrück, hasRiver, Simmerbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simmerbach
Context triple: [Hunsrück, hasRiver, Simmerbach]
  • A. Schrecksbach
    Schrecksbach is a small municipality in the German state of Hesse, known for its rural character and location within the Schwalm-Eder district.
  • B. Langrickenbach
    Langrickenbach is a municipality in the canton of Thurgau in northeastern Switzerland, situated in a rural area near Lake Constance.
  • C. Singerbach
    Singerbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
  • D. Biwerbach
    Biwerbach is a small locality within the commune of Troisvierges in northern Luxembourg.
  • E. Schwarzwasserbach
    Schwarzwasserbach is a small river or stream in the German state of Baden-Württemberg that flows through the town of Sindelfingen.
  • 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: Simmerbach
Triple: [Hunsrück, hasRiver, Simmerbach]
Generated description
Simmerbach is a river in the Hunsrück region of Rhineland-Palatinate in western Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Simmerbach
Target entity description: Simmerbach is a river in the Hunsrück region of Rhineland-Palatinate in western Germany.
  • A. Schrecksbach
    Schrecksbach is a small municipality in the German state of Hesse, known for its rural character and location within the Schwalm-Eder district.
  • B. Langrickenbach
    Langrickenbach is a municipality in the canton of Thurgau in northeastern Switzerland, situated in a rural area near Lake Constance.
  • C. Singerbach
    Singerbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
  • D. Biwerbach
    Biwerbach is a small locality within the commune of Troisvierges in northern Luxembourg.
  • E. Schwarzwasserbach
    Schwarzwasserbach is a small river or stream in the German state of Baden-Württemberg that flows through the town of Sindelfingen.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb556948190af008c88e5bbf051 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307e9b5881908eb2cd9e4fa7c5f2 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f73195e4d88190ad356d0e3e18d34f completed May 3, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_69f73220ffc08190bfb1b89757efd606 completed May 3, 2026, 11:31 a.m.
Created at: April 9, 2026, 9:35 p.m.