Triple

T14040193
Position Surface form Disambiguated ID Type / Status
Subject Saturn AL-31F E337824 entity
Predicate hasVariant P455 FINISHED
Object AL-31F-M2
The AL-31F-M2 is an upgraded variant of the Russian AL-31F turbofan jet engine, offering increased thrust and improved performance for modern fighter aircraft.
 E1080816 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: AL-31F-M2 | Statement: [Saturn AL-31F, hasVariant, AL-31F-M2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AL-31F-M2
Context triple: [Saturn AL-31F, hasVariant, AL-31F-M2]
  • A. AL-31FN
    The AL-31FN is a Russian afterburning turbofan jet engine variant developed primarily to power Chinese fighter aircraft such as the Chengdu J-10.
  • B. AL-31FM
    The AL-31FM is an improved, higher-thrust variant of the Russian AL-31F turbofan engine used to power advanced versions of the Sukhoi Su-27 family of fighter aircraft.
  • C. A-31
    A-31 is a major Spanish motorway that connects inland regions, including Madrid and Albacete, with the Mediterranean corridor.
  • D. MH-26
    MH-26 is the regional vehicle registration code assigned to the Nanded district in the Indian state of Maharashtra.
  • E. Aero L-159 ALCA
    The Aero L-159 ALCA is a Czech-built light combat and advanced jet trainer aircraft designed for close air support, reconnaissance, and pilot training roles.
  • 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: AL-31F-M2
Triple: [Saturn AL-31F, hasVariant, AL-31F-M2]
Generated description
The AL-31F-M2 is an upgraded variant of the Russian AL-31F turbofan jet engine, offering increased thrust and improved performance for modern fighter aircraft.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AL-31F-M2
Target entity description: The AL-31F-M2 is an upgraded variant of the Russian AL-31F turbofan jet engine, offering increased thrust and improved performance for modern fighter aircraft.
  • A. AL-31FN
    The AL-31FN is a Russian afterburning turbofan jet engine variant developed primarily to power Chinese fighter aircraft such as the Chengdu J-10.
  • B. AL-31FM chosen
    The AL-31FM is an improved, higher-thrust variant of the Russian AL-31F turbofan engine used to power advanced versions of the Sukhoi Su-27 family of fighter aircraft.
  • C. A-31
    A-31 is a major Spanish motorway that connects inland regions, including Madrid and Albacete, with the Mediterranean corridor.
  • D. MH-26
    MH-26 is the regional vehicle registration code assigned to the Nanded district in the Indian state of Maharashtra.
  • E. Aero L-159 ALCA
    The Aero L-159 ALCA is a Czech-built light combat and advanced jet trainer aircraft designed for close air support, reconnaissance, and pilot training roles.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de30ee374081908b6b5e8f81dd90f2 completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7d863ac819085bf5cd76cb2e8dd completed May 7, 2026, 8:36 p.m.
NEDg Description generation batch_69fd0070ded48190a2cd1a1f95a48d13 completed May 7, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69fd012728788190b45639644e83afee completed May 7, 2026, 9:16 p.m.
Created at: April 9, 2026, 10:20 p.m.