Triple

T3933886
Position Surface form Disambiguated ID Type / Status
Subject Dommel E90861 entity
Predicate flowsThrough P225 FINISHED
Object Neerpelt
Neerpelt is a town in the Belgian province of Limburg, known for its green surroundings and cultural events.
 E399686 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: Neerpelt | Statement: [Dommel, flowsThrough, Neerpelt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neerpelt
Context triple: [Dommel, flowsThrough, Neerpelt]
  • A. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • B. Schwansen
    Schwansen is a rural peninsula in northern Germany situated between the Schlei inlet and the Eckernförde Bay in the state of Schleswig-Holstein.
  • C. Betuwe
    Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
  • D. Kloetinge
    Kloetinge is a historic village in the Dutch province of Zeeland, known for its traditional architecture and rural character.
  • E. Geervliet
    Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
  • 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: Neerpelt
Triple: [Dommel, flowsThrough, Neerpelt]
Generated description
Neerpelt is a town in the Belgian province of Limburg, known for its green surroundings and cultural events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neerpelt
Target entity description: Neerpelt is a town in the Belgian province of Limburg, known for its green surroundings and cultural events.
  • A. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • B. Schwansen
    Schwansen is a rural peninsula in northern Germany situated between the Schlei inlet and the Eckernförde Bay in the state of Schleswig-Holstein.
  • C. Betuwe
    Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
  • D. Kloetinge
    Kloetinge is a historic village in the Dutch province of Zeeland, known for its traditional architecture and rural character.
  • E. Geervliet
    Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedcab1808190bf653f29062cdddb completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5288b7538819084936489226dd31f completed March 14, 2026, 9:21 a.m.
NEDg Description generation batch_69b529a1486881908ff348558199232b completed March 14, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_69b52a43c6f081908366d9848728f98a completed March 14, 2026, 9:28 a.m.
Created at: March 9, 2026, 3:23 p.m.