Triple

T5294250
Position Surface form Disambiguated ID Type / Status
Subject Russian Antarctic Expedition E119814 entity
Predicate maintains P1580 FINISHED
Object Druzhnaya IV Station
Druzhnaya IV Station is a Russian research facility in Antarctica used for scientific studies in the polar environment.
 E510008 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: Druzhnaya IV Station | Statement: [Russian Antarctic Expedition, maintains, Druzhnaya IV Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Druzhnaya IV Station
Context triple: [Russian Antarctic Expedition, maintains, Druzhnaya IV Station]
  • A. Pionerskaya station
    Pionerskaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • B. Gagarina station
    Gagarina station is a stop on the Volgograd Metrotram system in Volgograd, Russia, named in honor of cosmonaut Yuri Gagarin.
  • C. Molodyozhnaya Station
    Molodyozhnaya Station is a Soviet-era Antarctic research base on the coast of Queen Maud Land, used primarily for scientific studies in fields such as glaciology, meteorology, and geophysics.
  • D. Olkhovaya station
    Olkhovaya station is a station on the Sokolnicheskaya Line of the Moscow Metro, serving passengers in the southeastern part of the city.
  • E. Khimvolokno station
    Khimvolokno station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • 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: Druzhnaya IV Station
Triple: [Russian Antarctic Expedition, maintains, Druzhnaya IV Station]
Generated description
Druzhnaya IV Station is a Russian research facility in Antarctica used for scientific studies in the polar environment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Druzhnaya IV Station
Target entity description: Druzhnaya IV Station is a Russian research facility in Antarctica used for scientific studies in the polar environment.
  • A. Pionerskaya station
    Pionerskaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • B. Gagarina station
    Gagarina station is a stop on the Volgograd Metrotram system in Volgograd, Russia, named in honor of cosmonaut Yuri Gagarin.
  • C. Molodyozhnaya Station
    Molodyozhnaya Station is a Soviet-era Antarctic research base on the coast of Queen Maud Land, used primarily for scientific studies in fields such as glaciology, meteorology, and geophysics.
  • D. Olkhovaya station
    Olkhovaya station is a station on the Sokolnicheskaya Line of the Moscow Metro, serving passengers in the southeastern part of the city.
  • E. Khimvolokno station
    Khimvolokno station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • 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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84f034f081908027a43120b6e122 completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10e3a0908190895fb4442afc715e completed March 21, 2026, 9:42 p.m.
NEDg Description generation batch_69bf117894d481909817346060a28d07 completed March 21, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69bf1267a0a88190a558937fa7776ed7 completed March 21, 2026, 9:49 p.m.
Created at: March 20, 2026, 1:52 p.m.