Triple

T2628583
Position Surface form Disambiguated ID Type / Status
Subject Kauhava Air Base E59178 entity
Predicate usedAircraftType P1524 FINISHED
Object VL Viima
The VL Viima is a Finnish two-seat biplane trainer aircraft used primarily for pilot training in the 1930s and 1940s.
 E284556 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: VL Viima | Statement: [Kauhava Air Base, usedAircraftType, VL Viima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VL Viima
Context triple: [Kauhava Air Base, usedAircraftType, VL Viima]
  • A. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • B. Vihti
    Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
  • C. Váli
    Váli is a Norse god, one of Odin's sons, known primarily for avenging the death of his half-brother Baldr.
  • D. Viljo
    Viljo is a masculine given name of Finnish origin.
  • E. Vaako
    Vaako is a ruthless and ambitious Necromonger commander from the science fiction film series "The Chronicles of Riddick."
  • 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: VL Viima
Triple: [Kauhava Air Base, usedAircraftType, VL Viima]
Generated description
The VL Viima is a Finnish two-seat biplane trainer aircraft used primarily for pilot training in the 1930s and 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VL Viima
Target entity description: The VL Viima is a Finnish two-seat biplane trainer aircraft used primarily for pilot training in the 1930s and 1940s.
  • A. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • B. Vihti
    Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
  • C. Váli
    Váli is a Norse god, one of Odin's sons, known primarily for avenging the death of his half-brother Baldr.
  • D. Viljo
    Viljo is a masculine given name of Finnish origin.
  • E. Vaako
    Vaako is a ruthless and ambitious Necromonger commander from the science fiction film series "The Chronicles of Riddick."
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8c2e3d88190a972f58356f282cc completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90a44a348190b8b49b37418dd94b completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af9172ba248190bbc68a00b43d9b44 completed March 10, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69af92500920819082c651f75a06dd72 completed March 10, 2026, 3:38 a.m.
Created at: March 6, 2026, 9:50 p.m.