Triple

T5893388
Position Surface form Disambiguated ID Type / Status
Subject Loon op Zand E131043 entity
Predicate containsSettlement P847 FINISHED
Object De Moer
De Moer is a small village in the Dutch province of North Brabant, known for its rural character and proximity to the Loonse en Drunense Duinen national park.
 E659023 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: De Moer | Statement: [Loon op Zand, containsSettlement, De Moer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: De Moer
Context triple: [Loon op Zand, containsSettlement, De Moer]
  • A. Aalst
    Aalst is a historic city in the Belgian province of East Flanders, known for its textile industry and famous annual carnival.
  • B. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • C. Roeselare
    Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
  • D. Merelbeke
    Merelbeke is a municipality in East Flanders, Belgium, known in part for hosting Ghent University's Faculty of Veterinary Medicine.
  • E. Zottegem
    Zottegem is a city and municipality in East Flanders, Belgium, known for its historic center and its role as a regular feature in Flemish cycling races.
  • 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: De Moer
Triple: [Loon op Zand, containsSettlement, De Moer]
Generated description
De Moer is a small village in the Dutch province of North Brabant, known for its rural character and proximity to the Loonse en Drunense Duinen national park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: De Moer
Target entity description: De Moer is a small village in the Dutch province of North Brabant, known for its rural character and proximity to the Loonse en Drunense Duinen national park.
  • A. Aalst
    Aalst is a historic city in the Belgian province of East Flanders, known for its textile industry and famous annual carnival.
  • B. Izegem
    Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
  • C. Roeselare
    Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
  • D. Merelbeke
    Merelbeke is a municipality in East Flanders, Belgium, known in part for hosting Ghent University's Faculty of Veterinary Medicine.
  • E. Zottegem
    Zottegem is a city and municipality in East Flanders, Belgium, known for its historic center and its role as a regular feature in Flemish cycling races.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036b5c68481909fdcba428238c74d completed March 22, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa512324819092e3a0b449cdb9ba completed March 28, 2026, 3:57 p.m.
NEDg Description generation batch_69c7fbbff6f081909b694dea7e572ec2 completed March 28, 2026, 4:03 p.m.
NED2 Entity disambiguation (via description) batch_69c7fc2f66248190bac3fa24d530b938 completed March 28, 2026, 4:05 p.m.
Created at: March 22, 2026, 3:58 p.m.