Triple

T15968816
Position Surface form Disambiguated ID Type / Status
Subject Enger E387266 entity
Predicate river P165 FINISHED
Object Johannisbach
Johannisbach is a small river in North Rhine-Westphalia, Germany, known for flowing through the town of Enger and the surrounding rural landscape.
E1200754 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: Johannisbach | Statement: [Enger, river, Johannisbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johannisbach
Context triple: [Enger, river, Johannisbach]
  • A. Frauendorfer Bach
    Frauendorfer Bach is a small stream in Bavaria, Germany, that flows through the region’s rural landscape before joining the river Alz.
  • B. Starkenbach
    Starkenbach is a small settlement in the Swiss municipality of Alt St. Johann, located in the canton of St. Gallen.
  • C. Schwarzwasserbach
    Schwarzwasserbach is a small river or stream in the German state of Baden-Württemberg that flows through the town of Sindelfingen.
  • D. Langrickenbach
    Langrickenbach is a municipality in the canton of Thurgau in northeastern Switzerland, situated in a rural area near Lake Constance.
  • E. Gentalbach
    Gentalbach is a mountain stream in the Swiss Alps that flows through the Gental valley before joining the Hasli-Aare river system.
  • 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: Johannisbach
Triple: [Enger, river, Johannisbach]
Generated description
Johannisbach is a small river in North Rhine-Westphalia, Germany, known for flowing through the town of Enger and the surrounding rural landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Johannisbach
Target entity description: Johannisbach is a small river in North Rhine-Westphalia, Germany, known for flowing through the town of Enger and the surrounding rural landscape.
  • A. Frauendorfer Bach
    Frauendorfer Bach is a small stream in Bavaria, Germany, that flows through the region’s rural landscape before joining the river Alz.
  • B. Starkenbach
    Starkenbach is a small settlement in the Swiss municipality of Alt St. Johann, located in the canton of St. Gallen.
  • C. Schwarzwasserbach
    Schwarzwasserbach is a small river or stream in the German state of Baden-Württemberg that flows through the town of Sindelfingen.
  • D. Langrickenbach
    Langrickenbach is a municipality in the canton of Thurgau in northeastern Switzerland, situated in a rural area near Lake Constance.
  • E. Gentalbach
    Gentalbach is a mountain stream in the Swiss Alps that flows through the Gental valley before joining the Hasli-Aare river system.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572847f08190830e30125e829766 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00077a54c88190ab94a558bfaecf2f completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a0009f631e08190aae358edc9ffad6b completed May 10, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_6a000a6de0488190ac72fb9eee9ec531 completed May 10, 2026, 4:32 a.m.
Created at: April 10, 2026, 4:54 a.m.