Triple
T10125914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lodovico Settembrini |
E226213
|
entity |
| Predicate | viewsOnEducation |
P4078
|
FINISHED |
| Object | education as tool of emancipation |
—
|
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: education as tool of emancipation | Statement: [Lodovico Settembrini, viewsOnEducation, education as tool of emancipation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsOnEducation Context triple: [Lodovico Settembrini, viewsOnEducation, education as tool of emancipation]
-
A.
viewOnEducation
chosen
Indicates a stance, opinion, or perspective that an entity holds regarding education or educational matters.
-
B.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
C.
educationTrend
Indicates a pattern or direction of change over time in some aspect of education, such as participation, attainment, or performance.
-
D.
educationalImpact
Indicates the effect or influence that one entity has on the learning, knowledge, or educational outcomes of another.
-
E.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2ed85b4819097dfe89e044e1a90 |
completed | April 2, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba1d360819087698d04a53cc87e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:05 p.m.