Triple

T13864264
Position Surface form Disambiguated ID Type / Status
Subject Antonov An-2 E333279 entity
Predicate nicknamed P744 FINISHED
Object Kukuruznik
Kukuruznik is the colloquial Russian nickname for the Antonov An-2, a rugged Soviet-era single-engine biplane widely used for agricultural work and short-haul transport.
 E1066177 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: Kukuruznik | Statement: [Antonov An-2, nicknamed, Kukuruznik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kukuruznik
Context triple: [Antonov An-2, nicknamed, Kukuruznik]
  • A. Kasha
    Kasha is a feminine given name used in various cultures, often as a diminutive or variant of names like Katarzyna or Kasia.
  • B. Kostrza
    Kostrza is a mountain peak in southern Poland that forms part of the Beskid Wyspowy range in the Western Carpathians.
  • C. Millet
    Millet is a common French surname borne by several notable figures, including artists and sculptors.
  • D. Centeno
    Centeno is a Portuguese surname most notably associated with Mário Centeno, an economist and former finance minister of Portugal.
  • E. Tebu
    Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
  • 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: Kukuruznik
Triple: [Antonov An-2, nicknamed, Kukuruznik]
Generated description
Kukuruznik is the colloquial Russian nickname for the Antonov An-2, a rugged Soviet-era single-engine biplane widely used for agricultural work and short-haul transport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kukuruznik
Target entity description: Kukuruznik is the colloquial Russian nickname for the Antonov An-2, a rugged Soviet-era single-engine biplane widely used for agricultural work and short-haul transport.
  • A. Kasha
    Kasha is a feminine given name used in various cultures, often as a diminutive or variant of names like Katarzyna or Kasia.
  • B. Kostrza
    Kostrza is a mountain peak in southern Poland that forms part of the Beskid Wyspowy range in the Western Carpathians.
  • C. Millet
    Millet is a common French surname borne by several notable figures, including artists and sculptors.
  • D. Centeno
    Centeno is a Portuguese surname most notably associated with Mário Centeno, an economist and former finance minister of Portugal.
  • E. Tebu
    Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c30d9c81908217d41a3b4aaf85 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c10113288190b799126d934df92a completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c1e7efd88190ac07472647da69e7 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c3396f7c8190987079bf24ac8695 completed May 3, 2026, 9:50 p.m.
Created at: April 9, 2026, 10:14 p.m.