Triple

T8016580
Position Surface form Disambiguated ID Type / Status
Subject Kazan State Medical University E186631 entity
Predicate attractsStudentsFrom P19222 FINISHED
Object Russia E10011 NE FINISHED

How this triple was built (3 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: Russia | Statement: [Kazan State Medical University, attractsStudentsFrom, Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russia
Context triple: [Kazan State Medical University, attractsStudentsFrom, Russia]
  • A. Russia chosen
    Russia is the world’s largest country by land area, spanning Eastern Europe and northern Asia and exerting major political, military, and cultural influence globally.
  • B. ROSSIYA
    ROSSIYA is the radio callsign used by Rossiya Airlines, a major Russian carrier based in Saint Petersburg.
  • C. Rusko
    Rusko is a small municipality in southwestern Finland known for its rural character and proximity to the city of Turku.
  • D. Rusa
    Rusa is a genus of deer native to South and Southeast Asia, including species such as the Javan rusa and sambar.
  • E. Russas
    Russas is a municipality in the northeastern Brazilian state of Ceará, known for its agricultural activities and semi-arid climate.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: attractsStudentsFrom
Context triple: [Kazan State Medical University, attractsStudentsFrom, Russia]
  • A. attractsParticipantsFrom
    Indicates that an event, activity, or organization draws or recruits participants originating from a specified place, group, or source.
  • B. acceptsStudents
    Indicates that an institution or program allows and takes in students as participants or members.
  • C. drawsStudentsFrom chosen
    Indicates that an institution or program attracts and enrolls students originating from a particular source, place, or group.
  • D. admittedStudents
    Indicates that certain students have been officially accepted or granted admission to an institution, program, or course.
  • E. studentOrigin
    Indicates that a student originates from, or is associated with, a particular place, institution, or source.
  • F. None of above.

Provenance (4 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df37a00819088780e5461bc5b41 completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93a8923081908402951d6490f8de completed April 1, 2026, 3:40 a.m.
PD Predicate disambiguation batch_69cb048c9f488190b4fb8917a9c21bc5 completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:20 p.m.