Triple

T7606259
Position Surface form Disambiguated ID Type / Status
Subject Roer E180110 entity
Predicate flowsNear P350 FINISHED
Object Linnich
Linnich is a small town in western Germany’s North Rhine-Westphalia region, known for its location in the Rur (Roer) river valley and its paper and ceramics industries.
E676772 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: Linnich | Statement: [Roer, flowsNear, Linnich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linnich
Context triple: [Roer, flowsNear, Linnich]
  • A. Leichlingen
    Leichlingen is a small town in North Rhine-Westphalia, Germany, known for its scenic location along the Wupper River and its fruit-growing traditions.
  • B. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • C. Wesseling
    Wesseling is a German industrial town on the Rhine River in North Rhine-Westphalia, situated between Cologne and Bonn.
  • D. Biezelinge
    Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
  • E. Yerseke
    Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
  • 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: Linnich
Triple: [Roer, flowsNear, Linnich]
Generated description
Linnich is a small town in western Germany’s North Rhine-Westphalia region, known for its location in the Rur (Roer) river valley and its paper and ceramics industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Linnich
Target entity description: Linnich is a small town in western Germany’s North Rhine-Westphalia region, known for its location in the Rur (Roer) river valley and its paper and ceramics industries.
  • A. Leichlingen
    Leichlingen is a small town in North Rhine-Westphalia, Germany, known for its scenic location along the Wupper River and its fruit-growing traditions.
  • B. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • C. Wesseling
    Wesseling is a German industrial town on the Rhine River in North Rhine-Westphalia, situated between Cologne and Bonn.
  • D. Biezelinge
    Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
  • E. Yerseke
    Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fe10408190b1c12bb8f911cea8 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86857db14819086d5ebd825d30e77 completed March 28, 2026, 11:46 p.m.
NEDg Description generation batch_69c86a12e1f08190ab214f4e95e986db completed March 28, 2026, 11:53 p.m.
NED2 Entity disambiguation (via description) batch_69c86a5b6f188190aafbf2e9fcb8b972 completed March 28, 2026, 11:55 p.m.
Created at: March 27, 2026, 3:54 p.m.