Triple

T1135040
Position Surface form Disambiguated ID Type / Status
Subject North Brabant E23119 entity
Predicate containsCity P294 FINISHED
Object Uden
Uden is a town in the southern Netherlands known for its location in the province of North Brabant and its proximity to nature reserves and regional industry.
E131040 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: Uden | Statement: [North Brabant, containsCity, Uden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uden
Context triple: [North Brabant, containsCity, Uden]
  • A. Unna
    Unna is a town in the German state of North Rhine-Westphalia, known historically as a regional trading center near Dortmund.
  • B. Etten
    Etten is a village in the Netherlands known as one of the early places where Vincent van Gogh lived and worked.
  • C. Undun
    Undun is a concept album by hip hop band The Roots that narrates the rise and fall of a fictional young man through introspective, jazz-influenced production and storytelling.
  • D. Unger
    Unger is a German-origin surname borne by various notable individuals across fields such as politics, arts, and academia.
  • E. Tyge
    Tyge is the original Danish given name of the renowned 16th-century astronomer Tycho Brahe.
  • 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: Uden
Triple: [North Brabant, containsCity, Uden]
Generated description
Uden is a town in the southern Netherlands known for its location in the province of North Brabant and its proximity to nature reserves and regional industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Uden
Target entity description: Uden is a town in the southern Netherlands known for its location in the province of North Brabant and its proximity to nature reserves and regional industry.
  • A. Unna
    Unna is a town in the German state of North Rhine-Westphalia, known historically as a regional trading center near Dortmund.
  • B. Etten
    Etten is a village in the Netherlands known as one of the early places where Vincent van Gogh lived and worked.
  • C. Undun
    Undun is a concept album by hip hop band The Roots that narrates the rise and fall of a fictional young man through introspective, jazz-influenced production and storytelling.
  • D. Unger
    Unger is a German-origin surname borne by various notable individuals across fields such as politics, arts, and academia.
  • E. Tyge
    Tyge is the original Danish given name of the renowned 16th-century astronomer Tycho Brahe.
  • 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_69ac59ac2ea881908b9559ff9d47077a completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5a38ebb0819091cb81e23770ae50 completed March 7, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ac5aa2ad188190b4c6a29e3c2c8d79 completed March 7, 2026, 5:04 p.m.
Created at: March 1, 2026, 7:44 p.m.