Triple

T9557749
Position Surface form Disambiguated ID Type / Status
Subject Baronie of Breda E230583 entity
Predicate hasPart P35 FINISHED
Object Prinsenbeek
Prinsenbeek is a village in the Dutch province of North Brabant, now part of the municipality of Breda and known for its suburban character and proximity to the city.
E812483 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: Prinsenbeek | Statement: [Baronie of Breda, hasPart, Prinsenbeek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prinsenbeek
Context triple: [Baronie of Breda, hasPart, Prinsenbeek]
  • A. Lembeekse Beek
    Lembeekse Beek is a stream in Belgium that serves as a notable tributary within the Zenne river basin.
  • B. Vierlingsbeek
    Vierlingsbeek is a village in the Dutch province of North Brabant, known for its rural character and location along the river Maas.
  • C. Neerpedebeek
    Neerpedebeek is a small stream in Belgium that serves as one of the tributaries feeding into the Zenne River.
  • D. Stevensbeek
    Stevensbeek is a small village in the Dutch province of North Brabant, known for its rural character and tranquil surroundings.
  • E. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • 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: Prinsenbeek
Triple: [Baronie of Breda, hasPart, Prinsenbeek]
Generated description
Prinsenbeek is a village in the Dutch province of North Brabant, now part of the municipality of Breda and known for its suburban character and proximity to the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prinsenbeek
Target entity description: Prinsenbeek is a village in the Dutch province of North Brabant, now part of the municipality of Breda and known for its suburban character and proximity to the city.
  • A. Lembeekse Beek
    Lembeekse Beek is a stream in Belgium that serves as a notable tributary within the Zenne river basin.
  • B. Vierlingsbeek
    Vierlingsbeek is a village in the Dutch province of North Brabant, known for its rural character and location along the river Maas.
  • C. Neerpedebeek
    Neerpedebeek is a small stream in Belgium that serves as one of the tributaries feeding into the Zenne River.
  • D. Stevensbeek
    Stevensbeek is a small village in the Dutch province of North Brabant, known for its rural character and tranquil surroundings.
  • E. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99487b4c819086e02e29e37b593f completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18214e1cc8190a66582a1af26cac3 completed April 4, 2026, 9:26 p.m.
NEDg Description generation batch_69d18601f5188190a6412ee2ffb1c888 completed April 4, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69d18653a5008190879557508f727f66 completed April 4, 2026, 9:44 p.m.
Created at: March 30, 2026, 8:03 p.m.