Triple

T1135039
Position Surface form Disambiguated ID Type / Status
Subject North Brabant E23119 entity
Predicate containsCity P294 FINISHED
Object Oosterhout
Oosterhout is a town and municipality in the southern Netherlands known for its historic monasteries and proximity to the city of Breda.
 E524485 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: Oosterhout | Statement: [North Brabant, containsCity, Oosterhout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oosterhout
Context triple: [North Brabant, containsCity, Oosterhout]
  • A. Veldhoven
    Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
  • B. Bloemendaal
    Bloemendaal is a coastal municipality in North Holland, Netherlands, known for its beaches, dunes, and affluent residential areas.
  • C. Roosendaal
    Roosendaal is a city in the southern Netherlands known as a regional center for commerce and transport near the Belgian border.
  • D. Waalwijk
    Waalwijk is a town and municipality in the southern Netherlands known historically for its leather and shoe industry.
  • E. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • 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: Oosterhout
Triple: [North Brabant, containsCity, Oosterhout]
Generated description
Oosterhout is a town and municipality in the southern Netherlands known for its historic monasteries and proximity to the city of Breda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oosterhout
Target entity description: Oosterhout is a town and municipality in the southern Netherlands known for its historic monasteries and proximity to the city of Breda.
  • A. Veldhoven
    Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
  • B. Bloemendaal
    Bloemendaal is a coastal municipality in North Holland, Netherlands, known for its beaches, dunes, and affluent residential areas.
  • C. Roosendaal
    Roosendaal is a city in the southern Netherlands known as a regional center for commerce and transport near the Belgian border.
  • D. Waalwijk
    Waalwijk is a town and municipality in the southern Netherlands known historically for its leather and shoe industry.
  • E. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bbfffaa48190b2534ff4da3544ce completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf70b4a5388190935a308e883dfe13 completed March 22, 2026, 4:31 a.m.
NEDg Description generation batch_69bf72ee455c8190a607e44e7c9e5633 completed March 22, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69bf7338bca481908f93f9f21cc544e2 completed March 22, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:44 p.m.