Triple

T5952511
Position Surface form Disambiguated ID Type / Status
Subject Westerveld E132431 entity
Predicate contains P35 FINISHED
Object Vledder
Vledder is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Westerveld.
 E557932 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: Vledder | Statement: [Westerveld, contains, Vledder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vledder
Context triple: [Westerveld, contains, Vledder]
  • A. Vitlycke
    Vitlycke is a renowned Bronze Age rock carving site in Tanum, Sweden, noted for its extensive petroglyphs and archaeological significance.
  • B. Veddesta
    Veddesta is an industrial and commercial area in Järfälla Municipality, northwest of central Stockholm, Sweden.
  • C. Høvelte
    Høvelte is a locality in Denmark known primarily for hosting a major Danish Army military barracks and training area.
  • D. Trysilelva
    Trysilelva is a major river in eastern Norway that flows southward through the Trysil region and continues into Sweden as part of the Klarälven–Göta älv watercourse.
  • E. Givlaari
    Givlaari is an RNA interference-based therapy used to treat acute hepatic porphyria by reducing the production of toxic heme intermediates in the liver.
  • 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: Vledder
Triple: [Westerveld, contains, Vledder]
Generated description
Vledder is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Westerveld.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vledder
Target entity description: Vledder is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Westerveld.
  • A. Vitlycke
    Vitlycke is a renowned Bronze Age rock carving site in Tanum, Sweden, noted for its extensive petroglyphs and archaeological significance.
  • B. Veddesta
    Veddesta is an industrial and commercial area in Järfälla Municipality, northwest of central Stockholm, Sweden.
  • C. Høvelte
    Høvelte is a locality in Denmark known primarily for hosting a major Danish Army military barracks and training area.
  • D. Trysilelva
    Trysilelva is a major river in eastern Norway that flows southward through the Trysil region and continues into Sweden as part of the Klarälven–Göta älv watercourse.
  • E. Givlaari
    Givlaari is an RNA interference-based therapy used to treat acute hepatic porphyria by reducing the production of toxic heme intermediates in the liver.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03983b8848190afaa37f35c95bad6 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3d1801c819093dc43dc5a525796 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0e781af588190a8f5572a03b24822 completed March 23, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69c0e7f767f8819086026b95c4534733 completed March 23, 2026, 7:12 a.m.
Created at: March 22, 2026, 4:02 p.m.