Triple

T12293807
Position Surface form Disambiguated ID Type / Status
Subject Tupolev Tu-214ON E293032 entity
Predicate engineModel P2092 FINISHED
Object PS-90A
The PS-90A is a Russian high-bypass turbofan aircraft engine widely used on modernized versions of Ilyushin and Tupolev airliners.
E975270 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: PS-90A | Statement: [Tupolev Tu-214ON, engineModel, PS-90A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PS-90A
Context triple: [Tupolev Tu-214ON, engineModel, PS-90A]
  • A. PZ-90
    PZ-90 is a geodetic coordinate reference system used by the Russian GLONASS satellite navigation system to define positions on Earth.
  • B. PS 89
    PS 89 is a public elementary school located in Manhattan’s Battery Park City neighborhood in New York City.
  • C. M90
    M90 is a major motorway in Scotland that connects Perth to the Forth Road Bridge, forming a key part of the route between the Scottish Highlands and Edinburgh.
  • D. M90
    M90 is a bright spiral galaxy located in the constellation Virgo and is one of the prominent members of the Virgo Cluster.
  • E. A90
    A90 is the orbital motorway encircling Rome, Italy, serving as a major ring road for traffic around the city.
  • 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: PS-90A
Triple: [Tupolev Tu-214ON, engineModel, PS-90A]
Generated description
The PS-90A is a Russian high-bypass turbofan aircraft engine widely used on modernized versions of Ilyushin and Tupolev airliners.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PS-90A
Target entity description: The PS-90A is a Russian high-bypass turbofan aircraft engine widely used on modernized versions of Ilyushin and Tupolev airliners.
  • A. PZ-90
    PZ-90 is a geodetic coordinate reference system used by the Russian GLONASS satellite navigation system to define positions on Earth.
  • B. PS 89
    PS 89 is a public elementary school located in Manhattan’s Battery Park City neighborhood in New York City.
  • C. M90
    M90 is a major motorway in Scotland that connects Perth to the Forth Road Bridge, forming a key part of the route between the Scottish Highlands and Edinburgh.
  • D. M90
    M90 is a bright spiral galaxy located in the constellation Virgo and is one of the prominent members of the Virgo Cluster.
  • E. A90
    A90 is the orbital motorway encircling Rome, Italy, serving as a major ring road for traffic around the city.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d23def88190adbaa282dd03d6c6 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e79bf548190bf7f314222ed1ed1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f62260d6708190808e52935a27e2c1 completed May 2, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_69f6230f4c8081908a759efa43b4800b completed May 2, 2026, 4:15 p.m.
Created at: April 8, 2026, 9:52 p.m.