Triple

T4406620
Position Surface form Disambiguated ID Type / Status
Subject Angara rocket family E93746 entity
Predicate compatibleUpperStage P56081 FINISHED
Object KVTK
KVTK is a cryogenic upper stage designed to enhance the performance and payload capacity of Russia’s Angara family of launch vehicles.
 E437694 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: KVTK | Statement: [Angara rocket family, compatibleUpperStage, KVTK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KVTK
Context triple: [Angara rocket family, compatibleUpperStage, KVTK]
  • A. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • B. KT
    KT is the official vehicle registration code used on license plates for vehicles registered in Katsina State, Nigeria.
  • C. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • D. ktu
    ktu is the ISO 639-2 code for Kituba, a widely used Bantu-based creole lingua franca in the Republic of the Congo and surrounding regions.
  • E. KZT
    KZT is the currency code for the Kazakhstani tenge, the official monetary unit of Kazakhstan.
  • 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: KVTK
Triple: [Angara rocket family, compatibleUpperStage, KVTK]
Generated description
KVTK is a cryogenic upper stage designed to enhance the performance and payload capacity of Russia’s Angara family of launch vehicles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KVTK
Target entity description: KVTK is a cryogenic upper stage designed to enhance the performance and payload capacity of Russia’s Angara family of launch vehicles.
  • A. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • B. KT
    KT is the official vehicle registration code used on license plates for vehicles registered in Katsina State, Nigeria.
  • C. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • D. ktu
    ktu is the ISO 639-2 code for Kituba, a widely used Bantu-based creole lingua franca in the Republic of the Congo and surrounding regions.
  • E. KZT
    KZT is the currency code for the Kazakhstani tenge, the official monetary unit of Kazakhstan.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b35640269c8190a88fc6b59070561b completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f6058f2c8190a50862d1a4607f3c completed March 14, 2026, 11:57 p.m.
NEDg Description generation batch_69b5f72c17fc819098c32cf56431e431 completed March 15, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69b5f7b0ef808190a913f494fdf5bb6d completed March 15, 2026, 12:05 a.m.
Created at: March 12, 2026, 11:28 p.m.