Triple

T3049140
Position Surface form Disambiguated ID Type / Status
Subject Mir program E83524 entity
Predicate spaceStationAdditionalModule P37024 FINISHED
Object Priroda
Priroda was the final scientific research module added to the Russian Mir space station, dedicated primarily to Earth observation experiments.
 E323086 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: Priroda | Statement: [Mir program, spaceStationAdditionalModule, Priroda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Priroda
Context triple: [Mir program, spaceStationAdditionalModule, Priroda]
  • A. İZDOĞA
    İZDOĞA is a subsidiary organization of the İzmir Metropolitan Municipality focused on environmental, infrastructure, and urban development services within the city.
  • B. Natuashish
    Natuashish is a remote Innu community in northern Labrador, Canada, established as a replacement for the former settlement of Davis Inlet.
  • C. Maa
    Maa is a Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania.
  • D. Zemin
    Zemin is a Chinese given name notably borne by Mao Zemin, a revolutionary and younger brother of Mao Zedong.
  • E. Maasim
    Maasim is a coastal municipality in the province of South Cotabato on the island of Mindanao in the Philippines, known for agriculture and fishing.
  • 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: Priroda
Triple: [Mir program, spaceStationAdditionalModule, Priroda]
Generated description
Priroda was the final scientific research module added to the Russian Mir space station, dedicated primarily to Earth observation experiments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Priroda
Target entity description: Priroda was the final scientific research module added to the Russian Mir space station, dedicated primarily to Earth observation experiments.
  • A. İZDOĞA
    İZDOĞA is a subsidiary organization of the İzmir Metropolitan Municipality focused on environmental, infrastructure, and urban development services within the city.
  • B. Natuashish
    Natuashish is a remote Innu community in northern Labrador, Canada, established as a replacement for the former settlement of Davis Inlet.
  • C. Maa
    Maa is a Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania.
  • D. Zemin
    Zemin is a Chinese given name notably borne by Mao Zemin, a revolutionary and younger brother of Mao Zedong.
  • E. Maasim
    Maasim is a coastal municipality in the province of South Cotabato on the island of Mindanao in the Philippines, known for agriculture and fishing.
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9e13f16c81909e11ed1444c71151 completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eef7d1e081908535b7d972a147eb completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1f0ad56dc81909c96018e34345fda completed March 11, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69b1f13a34c88190aa829d8d87a5d29b completed March 11, 2026, 10:48 p.m.
Created at: March 8, 2026, 3:01 p.m.