Triple
T18178190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Learning with Python |
E435215
|
entity |
| Predicate | intendedPrerequisites |
P100
|
FINISHED |
| Object | basic Python knowledge |
—
|
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: basic Python knowledge | Statement: [Deep Learning with Python, intendedPrerequisites, basic Python knowledge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedPrerequisites Context triple: [Deep Learning with Python, intendedPrerequisites, basic Python knowledge]
-
A.
previouslyRequired
Indicates that one entity was required or necessary before another entity, typically as a prerequisite condition or step.
-
B.
requiredTo
Indicates that one entity has an obligation or necessity to perform an action or satisfy a condition in relation to another entity or context.
-
C.
requiresPractice
Indicates that performing or mastering one entity depends on engaging in repeated practice or training involving another entity.
-
D.
requiredBy
Indicates that one entity depends on or cannot function properly without another entity being present, completed, or satisfied.
-
E.
requires
chosen
Indicates that one entity must exist, occur, or be satisfied before another entity can exist, occur, or be carried out.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df5b68f081908aac8210270f1499 |
completed | April 19, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.