Triple

T2779932
Position Surface form Disambiguated ID Type / Status
Subject OKB-1 E61666 entity
Predicate successor P78 FINISHED
Object TsKBEM
TsKBEM was a major Soviet space design bureau that led the development of crewed spacecraft and space stations during the height of the space race.
 E298158 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: TsKBEM | Statement: [OKB-1, successor, TsKBEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TsKBEM
Context triple: [OKB-1, successor, TsKBEM]
  • A. KBE
    KBE is an abbreviation that most commonly refers to "Knight Commander of the Order of the British Empire," a high-ranking honor in the British honours system.
  • B. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • C. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • D. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • 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: TsKBEM
Triple: [OKB-1, successor, TsKBEM]
Generated description
TsKBEM was a major Soviet space design bureau that led the development of crewed spacecraft and space stations during the height of the space race.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TsKBEM
Target entity description: TsKBEM was a major Soviet space design bureau that led the development of crewed spacecraft and space stations during the height of the space race.
  • A. KBE
    KBE is an abbreviation that most commonly refers to "Knight Commander of the Order of the British Empire," a high-ranking honor in the British honours system.
  • B. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • C. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • D. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd97e9988190a9065a70b878a675 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc05cf84881908e771471dbda4c8d completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc1f3741c8190a806f8cc14fc6334 completed March 10, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69afc24c63188190a51f5ae9f2955f0a completed March 10, 2026, 7:03 a.m.
Created at: March 6, 2026, 9:57 p.m.