Triple

T5893235
Position Surface form Disambiguated ID Type / Status
Subject Oss E131039 entity
Predicate hasSubmunicipality P747 FINISHED
Object Vinkel
Vinkel is a small village in the Dutch province of North Brabant that forms part of the municipality of Oss.
 E554079 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: Vinkel | Statement: [Oss, hasSubmunicipality, Vinkel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vinkel
Context triple: [Oss, hasSubmunicipality, Vinkel]
  • A. The Angle
    The Angle is a prominent battlefield site at Gettysburg, marking the focal point of Pickett’s Charge and often referred to as the “High Water Mark of the Confederacy.”
  • B. Anga
    Anga was an ancient kingdom in the eastern Indian subcontinent, often noted in epic literature as the realm ruled by the warrior Karna.
  • C. Angi
    Angi is a digital marketplace that connects homeowners with local contractors and service professionals for home improvement and repair projects.
  • D. Vingrau
    Vingrau is a small commune in southern France’s Pyrénées-Orientales department, known for its wine production and scenic location amid rugged limestone hills.
  • E. Vekoma
    Vekoma is a Dutch roller coaster and amusement ride manufacturer known worldwide for designing and building a wide range of thrill and family attractions for theme parks.
  • 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: Vinkel
Triple: [Oss, hasSubmunicipality, Vinkel]
Generated description
Vinkel is a small village in the Dutch province of North Brabant that forms part of the municipality of Oss.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vinkel
Target entity description: Vinkel is a small village in the Dutch province of North Brabant that forms part of the municipality of Oss.
  • A. The Angle
    The Angle is a prominent battlefield site at Gettysburg, marking the focal point of Pickett’s Charge and often referred to as the “High Water Mark of the Confederacy.”
  • B. Anga
    Anga was an ancient kingdom in the eastern Indian subcontinent, often noted in epic literature as the realm ruled by the warrior Karna.
  • C. Angi
    Angi is a digital marketplace that connects homeowners with local contractors and service professionals for home improvement and repair projects.
  • D. Vingrau
    Vingrau is a small commune in southern France’s Pyrénées-Orientales department, known for its wine production and scenic location amid rugged limestone hills.
  • E. Vekoma
    Vekoma is a Dutch roller coaster and amusement ride manufacturer known worldwide for designing and building a wide range of thrill and family attractions for theme parks.
  • 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_69c049fdb3e08190a72337ab4f48bc8e completed March 22, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b15146888190ab86eaf9e565ee28 completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b53ad6dc8190927653c470515963 completed March 23, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69c0b5de67208190b1dda9509767c2a7 completed March 23, 2026, 3:39 a.m.
Created at: March 22, 2026, 3:58 p.m.