Triple

T32833808
Position Surface form Disambiguated ID Type / Status
Subject Green League E839768 entity
Predicate studentWingName P175528 FINISHED
Object Vihreät opiskelijat
Vihreät opiskelijat is the student organization of Finland’s Green League, promoting green politics and sustainability within universities and other higher education institutions.
 E2026257 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: Vihreät opiskelijat | Statement: [Green League, studentWingName, Vihreät opiskelijat]
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: Vihreät opiskelijat
Triple: [Green League, studentWingName, Vihreät opiskelijat]
Generated description
Vihreät opiskelijat is the student organization of Finland’s Green League, promoting green politics and sustainability within universities and other higher education institutions.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: studentWingName
Context triple: [Green League, studentWingName, Vihreät opiskelijat]
  • A. studentWing
    Indicates that one entity is a wing or section of a building designated specifically for students in relation to another entity.
  • B. studentsWing
    Indicates a relationship where a particular wing, section, or area is designated for or associated with students.
  • C. hasStudentWing
    Indicates that an organization or institution includes a dedicated student wing or student-affiliated subdivision.
  • D. educationWing
    Indicates that one entity functions as an educational division, section, or wing associated with another entity.
  • E. schoolOf
    Indicates that an educational institution is the one where a person studied, worked, or is otherwise academically affiliated.
  • F. None of above. chosen

Provenance (7 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_69f3493f22f88190ae6dd4bc15b6cf8d completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d210fc80819091ed8961aa2cddfb completed May 3, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34bcf7e7a08190a0d800ecea931c3b completed June 19, 2026, 3:52 a.m.
NEDg Description generation batch_6a34bfbb3e8c8190b7b2d0d7dd3ba474 completed June 19, 2026, 4:04 a.m.
NED2 Entity disambiguation (via description) batch_6a34c025f24481909fe7cd29ac56efe5 completed June 19, 2026, 4:05 a.m.
PD Predicate disambiguation batch_69f6cfe45554819089cbbd538d992132 completed May 3, 2026, 4:32 a.m.
PDg Predicate description generation batch_69f6d16b79dc8190ab0d4657f2ef9a5b completed May 3, 2026, 4:39 a.m.
Created at: May 1, 2026, 1:16 a.m.