Triple
T2836348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MS in Machine Learning |
E62360
|
entity |
| Predicate | requiresBackgroundIn |
P100
|
FINISHED |
| Object | linear algebra |
—
|
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: linear algebra | Statement: [MS in Machine Learning, requiresBackgroundIn, linear algebra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresBackgroundIn Context triple: [MS in Machine Learning, requiresBackgroundIn, linear algebra]
-
A.
requires
chosen
Indicates that one entity must exist, occur, or be satisfied before another entity can exist, occur, or be carried out.
-
B.
requiredBy
Indicates that one entity depends on or cannot function properly without another entity being present, completed, or satisfied.
-
C.
requiresContext
Indicates that the relationship or action cannot be properly understood or evaluated without additional surrounding information, conditions, or circumstances.
-
D.
requiresApplicationTo
Indicates that one entity can only access, use, or obtain another entity if a formal application or request process is completed.
-
E.
requiresFinding
Indicates that one entity’s validity, execution, or completion is contingent upon a specific finding or determination being made about another entity.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdeec60a08190b76b52042713d647 |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd0ce8b08190ba28c192988f38ce |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.