Triple

T2445065
Position Surface form Disambiguated ID Type / Status
Subject Duchy of Guelders E53371 entity
Predicate namedAfter P63 FINISHED
Object Geldern
Geldern is a historic town in western Germany, notable as the namesake and former center of the medieval Duchy of Guelders.
E527096 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: Geldern | Statement: [Duchy of Guelders, namedAfter, Geldern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geldern
Context triple: [Duchy of Guelders, namedAfter, Geldern]
  • A. Zutphen
    Zutphen is a historic city in the eastern Netherlands known for its well-preserved medieval center and location along the river IJssel.
  • B. Zundert
    Zundert is a municipality and town in the southern Netherlands, known as the birthplace of painter Vincent van Gogh and for hosting one of the world's largest flower parades.
  • C. Culemborg
    Culemborg is a historic town in the Dutch province of Gelderland, known for its medieval center and role in the early Dutch colonial era.
  • D. Scharendijke
    Scharendijke is a village in the Dutch province of Zeeland, known as a popular base for water sports and diving in the Grevelingen and North Sea area.
  • E. Rijkevoort
    Rijkevoort is a village in the Dutch province of North Brabant, known for its rural character and location near the German border.
  • 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: Geldern
Triple: [Duchy of Guelders, namedAfter, Geldern]
Generated description
Geldern is a historic town in western Germany, notable as the namesake and former center of the medieval Duchy of Guelders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Geldern
Target entity description: Geldern is a historic town in western Germany, notable as the namesake and former center of the medieval Duchy of Guelders.
  • A. Zutphen
    Zutphen is a historic city in the eastern Netherlands known for its well-preserved medieval center and location along the river IJssel.
  • B. Zundert
    Zundert is a municipality and town in the southern Netherlands, known as the birthplace of painter Vincent van Gogh and for hosting one of the world's largest flower parades.
  • C. Culemborg
    Culemborg is a historic town in the Dutch province of Gelderland, known for its medieval center and role in the early Dutch colonial era.
  • D. Scharendijke
    Scharendijke is a village in the Dutch province of Zeeland, known as a popular base for water sports and diving in the Grevelingen and North Sea area.
  • E. Rijkevoort
    Rijkevoort is a village in the Dutch province of North Brabant, known for its rural character and location near the German border.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abca23ebe8819099a579a07c1bb708 completed March 7, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69bfd70b4a7c8190852503f31142562e completed March 22, 2026, 11:48 a.m.
NEDg Description generation batch_69bfd78bf35881908d304accaec98c9b completed March 22, 2026, 11:50 a.m.
NED2 Entity disambiguation (via description) batch_69bfd7dc86488190b73dd2aa18d205b3 completed March 22, 2026, 11:51 a.m.
Created at: March 6, 2026, 9:43 p.m.