Triple

T4045449
Position Surface form Disambiguated ID Type / Status
Subject Berg en Dal E84054 entity
Predicate contains P35 FINISHED
Object Groesbeek
Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
 E816668 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: Groesbeek | Statement: [Berg en Dal, contains, Groesbeek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Groesbeek
Context triple: [Berg en Dal, contains, Groesbeek]
  • A. Bergeijk
    Bergeijk is a municipality and village in the southern Netherlands, located in the province of North Brabant near the Belgian border.
  • B. Biezelinge
    Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
  • C. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • D. 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.
  • 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: Groesbeek
Triple: [Berg en Dal, contains, Groesbeek]
Generated description
Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Groesbeek
Target entity description: Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
  • A. Bergeijk
    Bergeijk is a municipality and village in the southern Netherlands, located in the province of North Brabant near the Belgian border.
  • B. Biezelinge
    Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
  • C. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • D. 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.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb5f85d48190ba80a0a24fbe438a completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f4a2bd881909745f349d847ca87 completed April 4, 2026, 11:31 p.m.
NEDg Description generation batch_69d1a0f4d5a88190af41d44006534bdc completed April 4, 2026, 11:38 p.m.
NED2 Entity disambiguation (via description) batch_69d1a158413c819099af153e0c1c5756 completed April 4, 2026, 11:40 p.m.
Created at: March 9, 2026, 3:37 p.m.