Triple
T22608593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanyavsky Moscow City People’s University |
E566630
|
entity |
| Predicate | educationalInnovation |
P85017
|
FINISHED |
| Object | non-degree public lecture system |
—
|
LITERAL FINISHED |
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: non-degree public lecture system | Statement: [Shanyavsky Moscow City People’s University, educationalInnovation, non-degree public lecture system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationalInnovation Context triple: [Shanyavsky Moscow City People’s University, educationalInnovation, non-degree public lecture system]
-
A.
educationalImpact
Indicates the effect or influence that one entity has on the learning, knowledge, or educational outcomes of another.
-
B.
educationalApproach
Indicates the method, strategy, or philosophy used to guide teaching and learning within an educational context.
-
C.
educationInitiative
chosen
Indicates a relationship where an entity plans, supports, or carries out a program or action aimed at improving or promoting education.
-
D.
educationalSector
Indicates a relationship in which something is part of, associated with, or operates within the education or schooling domain.
-
E.
educationTrend
Indicates a pattern or direction of change over time in some aspect of education, such as participation, attainment, or performance.
- F. None of above.
Provenance (3 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167e86794819097e9c1ea83db52e6 |
completed | April 29, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:55 p.m.