Triple
T7518603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham Silberschatz |
E177707
|
entity |
| Predicate | textbookUsedIn |
P36463
|
FINISHED |
| Object | undergraduate computer science education |
—
|
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: undergraduate computer science education | Statement: [Abraham Silberschatz, textbookUsedIn, undergraduate computer science education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textbookUsedIn Context triple: [Abraham Silberschatz, textbookUsedIn, undergraduate computer science education]
-
A.
notableTextbook
Indicates that a textbook is recognized as significant, influential, or widely used within its field or subject area.
-
B.
usesBookAs
chosen
Indicates that one entity employs or treats a book as a particular tool, resource, or role in a given context.
-
C.
book4Subject
Indicates that something is the subject or topic that a particular book is about.
-
D.
isStudiedUsing
Indicates that something serves as the method, tool, or approach by which something else is examined, analyzed, or researched.
-
E.
book2Subject
Indicates that an entity serves as the subject or topic that a given book is about.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f850c081909e697219071293fc |
completed | March 27, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:46 p.m.