Triple

T2560628
Position Surface form Disambiguated ID Type / Status
Subject Ikarus IK-2 E57233 entity
Predicate manufacturer P490 FINISHED
Object Ikarus
Ikarus was a Yugoslav aircraft manufacturer known for producing military and civil airplanes in the mid-20th century.
 E57233 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: Ikarus | Statement: [Ikarus IK-2, manufacturer, Ikarus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ikarus
Context triple: [Ikarus IK-2, manufacturer, Ikarus]
  • A. Ikarus IK-2
    The Ikarus IK-2 was a 1930s Yugoslav single-seat, high-wing monoplane fighter aircraft designed and built domestically as part of the country’s early efforts to develop an indigenous air force.
  • B. Tsalka
    Tsalka is a town in southern Georgia known for its ethnically diverse population and its location near the Tsalka Reservoir in the Kvemo Kartli region.
  • C. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • D. Blisk
    Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
  • E. Rivaz
    Rivaz is a picturesque Swiss wine-growing village on the shores of Lake Geneva, renowned for its terraced vineyards within the UNESCO-listed Lavaux region.
  • 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: Ikarus
Triple: [Ikarus IK-2, manufacturer, Ikarus]
Generated description
Ikarus was a Yugoslav aircraft manufacturer known for producing military and civil airplanes in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ikarus
Target entity description: Ikarus was a Yugoslav aircraft manufacturer known for producing military and civil airplanes in the mid-20th century.
  • A. Ikarus IK-2 chosen
    The Ikarus IK-2 was a 1930s Yugoslav single-seat, high-wing monoplane fighter aircraft designed and built domestically as part of the country’s early efforts to develop an indigenous air force.
  • B. Tsalka
    Tsalka is a town in southern Georgia known for its ethnically diverse population and its location near the Tsalka Reservoir in the Kvemo Kartli region.
  • C. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • D. Blisk
    Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
  • E. Rivaz
    Rivaz is a picturesque Swiss wine-growing village on the shores of Lake Geneva, renowned for its terraced vineyards within the UNESCO-listed Lavaux region.
  • F. None of above.

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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd334b69481908a6f2c0b41550ce9 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d233dbc81909feb1127cffb027f completed March 9, 2026, 11:52 p.m.
NEDg Description generation batch_69af60e78b488190bdd01ee77ed3648b completed March 10, 2026, 12:08 a.m.
NED2 Entity disambiguation (via description) batch_69af614ad2408190955c430cb7a7e302 completed March 10, 2026, 12:09 a.m.
Created at: March 6, 2026, 9:48 p.m.