Triple

T20469356
Position Surface form Disambiguated ID Type / Status
Subject Leonov spacecraft E502142 entity
Predicate hasCrewNationality P85192 FINISHED
Object Soviet
Soviet refers to something relating to the former Soviet Union, particularly its people, government, or national identity.
E324881 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: Soviet | Statement: [Leonov spacecraft, hasCrewNationality, Soviet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soviet
Context triple: [Leonov spacecraft, hasCrewNationality, Soviet]
  • A. Soviets
    Soviets were grassroots councils of workers, soldiers, and peasants that emerged as powerful political organs during the Russian Revolution and became a foundational element of the Soviet state.
  • B. Sovetsk
    Sovetsk is a town in Russia’s Kaliningrad Oblast, historically known as Tilsit and noted as the site where the 1807 Treaties of Tilsit were signed.
  • C. MO USSR
    MO USSR was the central government body responsible for directing and coordinating the armed forces of the Soviet Union.
  • D. Marshal Sovetskogo Soyuza
    Marshal Sovetskogo Soyuza was the highest military rank in the Soviet Union, equivalent to a five-star marshal and typically held by top commanders and defense ministers.
  • E. Profsoyuznaya
    Profsoyuznaya is a Moscow Metro station serving the Kaluzhsko–Rizhskaya Line in the south of 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: Soviet
Triple: [Leonov spacecraft, hasCrewNationality, Soviet]
Generated description
Soviet refers to something relating to the former Soviet Union, particularly its people, government, or national identity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Soviet
Target entity description: Soviet refers to something relating to the former Soviet Union, particularly its people, government, or national identity.
  • A. Soviets chosen
    Soviets were grassroots councils of workers, soldiers, and peasants that emerged as powerful political organs during the Russian Revolution and became a foundational element of the Soviet state.
  • B. Sovetsk
    Sovetsk is a town in Russia’s Kaliningrad Oblast, historically known as Tilsit and noted as the site where the 1807 Treaties of Tilsit were signed.
  • C. MO USSR
    MO USSR was the central government body responsible for directing and coordinating the armed forces of the Soviet Union.
  • D. Marshal Sovetskogo Soyuza
    Marshal Sovetskogo Soyuza was the highest military rank in the Soviet Union, equivalent to a five-star marshal and typically held by top commanders and defense ministers.
  • E. Profsoyuznaya
    Profsoyuznaya is a Moscow Metro station serving the Kaluzhsko–Rizhskaya Line in the south of the city.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995f753081909bbe03f7c251d9c1 completed April 20, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b1c8764819082fab819e2114156 completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c75b09081908a35bc7a9b6a45ce completed May 16, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_6a088d8c3ab08190a399dba52e3c99f5 completed May 16, 2026, 3:30 p.m.
Created at: April 16, 2026, 11:33 a.m.