Triple
T32833808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green League |
E839768
|
entity |
| Predicate | studentWingName |
P175528
|
FINISHED |
| Object | Vihreät opiskelijat |
—
|
NE NERFINISHED |
How this triple was built (2 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]
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 (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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d210fc80819091ed8961aa2cddfb |
completed | May 3, 2026, 4:41 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.