Triple

T11955963
Position Surface form Disambiguated ID Type / Status
Subject Valmet L-70 Vinka E284553 entity
Predicate originLanguageName P3048 FINISHED
Object Vinka
Vinka is a Finnish military training aircraft developed by Valmet for basic pilot instruction.
 E956094 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: Vinka | Statement: [Valmet L-70 Vinka, originLanguageName, Vinka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vinka
Context triple: [Valmet L-70 Vinka, originLanguageName, Vinka]
  • A. Vianí
    Vianí is a municipality and town in the Gualivá Province of the Cundinamarca Department in central Colombia.
  • B. Vladimira
    Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
  • C. Karsavina
    Karsavina is the surname of Tamara Karsavina, a renowned Russian prima ballerina of the early 20th century.
  • D. Vica
    Vica is a diminutive or nickname commonly used for the given name Ludovica.
  • E. Pavlina
    Pavlina is a feminine given name, commonly used in Slavic countries as a variant of names like Paulina.
  • 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: Vinka
Triple: [Valmet L-70 Vinka, originLanguageName, Vinka]
Generated description
Vinka is a Finnish military training aircraft developed by Valmet for basic pilot instruction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vinka
Target entity description: Vinka is a Finnish military training aircraft developed by Valmet for basic pilot instruction.
  • A. Vianí
    Vianí is a municipality and town in the Gualivá Province of the Cundinamarca Department in central Colombia.
  • B. Vladimira
    Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
  • C. Karsavina
    Karsavina is the surname of Tamara Karsavina, a renowned Russian prima ballerina of the early 20th century.
  • D. Vica
    Vica is a diminutive or nickname commonly used for the given name Ludovica.
  • E. Pavlina
    Pavlina is a feminine given name, commonly used in Slavic countries as a variant of names like Paulina.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459175f808190974ac70431f35c74 completed May 1, 2026, 7:41 a.m.
NEDg Description generation batch_69f4645ef63881909b46937f73d637a3 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f465be4db08190882898a17d077019 completed May 1, 2026, 8:35 a.m.
Created at: April 8, 2026, 9:45 p.m.