Triple

T15634699
Position Surface form Disambiguated ID Type / Status
Subject Agger E375909 entity
Predicate hasTributary P415 FINISHED
Object Wiehl
Wiehl is a river in North Rhine-Westphalia, Germany, that flows through the Bergisches Land region before joining the Agger.
E1207691 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: Wiehl | Statement: [Agger, hasTributary, Wiehl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiehl
Context triple: [Agger, hasTributary, Wiehl]
  • A. Wiehl
    Wiehl is a small town in western Germany’s North Rhine-Westphalia region, known for its picturesque setting in the hilly Bergisches Land and its mix of rural charm and light industry.
  • B. Eschweiler
    Eschweiler is a town in western Germany near Aachen, known for its industrial history and location in the state of North Rhine-Westphalia.
  • C. Passenheim
    Passenheim is the former German name of the town now known as Pasym, located in northeastern Poland’s historic region of Masuria.
  • D. Neuß
    Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
  • E. Ahrweiler
    Ahrweiler is a district in the German state of Rhineland-Palatinate, known for its wine-growing Ahr Valley and historic towns.
  • 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: Wiehl
Triple: [Agger, hasTributary, Wiehl]
Generated description
Wiehl is a river in North Rhine-Westphalia, Germany, that flows through the Bergisches Land region before joining the Agger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wiehl
Target entity description: Wiehl is a river in North Rhine-Westphalia, Germany, that flows through the Bergisches Land region before joining the Agger.
  • A. Wiehl
    Wiehl is a small town in western Germany’s North Rhine-Westphalia region, known for its picturesque setting in the hilly Bergisches Land and its mix of rural charm and light industry.
  • B. Eschweiler
    Eschweiler is a town in western Germany near Aachen, known for its industrial history and location in the state of North Rhine-Westphalia.
  • C. Passenheim
    Passenheim is the former German name of the town now known as Pasym, located in northeastern Poland’s historic region of Masuria.
  • D. Neuß
    Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
  • E. Ahrweiler
    Ahrweiler is a district in the German state of Rhineland-Palatinate, known for its wine-growing Ahr Valley and historic towns.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb8b4c48190b80fea6877483089 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0025e9b00c81908cb5f305c894363f completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0029d7f4988190884ec34f55338b28 completed May 10, 2026, 6:46 a.m.
NED2 Entity disambiguation (via description) batch_6a002a4753608190b0d31a1913b2ba2c completed May 10, 2026, 6:48 a.m.
Created at: April 10, 2026, 4:14 a.m.