Triple

T13528882
Position Surface form Disambiguated ID Type / Status
Subject Progress-MS E323080 entity
Predicate successorTo P78 FINISHED
Object Progress-M-M
Progress-M-M was a Russian uncrewed cargo spacecraft variant used to resupply and service space stations such as Mir and the International Space Station.
 E1048152 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: Progress-M-M | Statement: [Progress-MS, successorTo, Progress-M-M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Progress-M-M
Context triple: [Progress-MS, successorTo, Progress-M-M]
  • A. The Progress
    The Progress is a local newspaper serving the community of Caldwell, New Jersey and its surrounding area.
  • B. Progress-M1
    Progress-M1 is a modernized Russian uncrewed cargo spacecraft variant designed to deliver supplies, fuel, and equipment to space stations such as the International Space Station.
  • C. Progress 1
    Progress 1 was the inaugural uncrewed Soviet cargo spacecraft mission used to resupply the Salyut 6 space station in low Earth orbit.
  • D. Progresso
    Progresso is a municipality in the Vale do Taquari region of the state of Rio Grande do Sul in southern Brazil.
  • E. Progress M-34
    Progress M-34 was a Russian uncrewed cargo spacecraft that resupplied the Mir space station and became known for its 1997 collision with the Spektr module.
  • 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: Progress-M-M
Triple: [Progress-MS, successorTo, Progress-M-M]
Generated description
Progress-M-M was a Russian uncrewed cargo spacecraft variant used to resupply and service space stations such as Mir and the International Space Station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Progress-M-M
Target entity description: Progress-M-M was a Russian uncrewed cargo spacecraft variant used to resupply and service space stations such as Mir and the International Space Station.
  • A. The Progress
    The Progress is a local newspaper serving the community of Caldwell, New Jersey and its surrounding area.
  • B. Progress-M1
    Progress-M1 is a modernized Russian uncrewed cargo spacecraft variant designed to deliver supplies, fuel, and equipment to space stations such as the International Space Station.
  • C. Progress 1
    Progress 1 was the inaugural uncrewed Soviet cargo spacecraft mission used to resupply the Salyut 6 space station in low Earth orbit.
  • D. Progresso
    Progresso is a municipality in the Vale do Taquari region of the state of Rio Grande do Sul in southern Brazil.
  • E. Progress M-34
    Progress M-34 was a Russian uncrewed cargo spacecraft that resupplied the Mir space station and became known for its 1997 collision with the Spektr module.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafba2c308190873efd15dfe26358 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76ba9fccc81908ec2e33d66aae8ea completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77640b5308190aaa50e8d5d871832 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7791add908190af69b23a54eb7560 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:44 p.m.