Triple
T26992664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Computers and Intractability: A Guide to the Theory of NP-Completeness |
E679895
|
entity |
| Predicate | typicalCourseUsage |
P11940
|
FINISHED |
| Object | theory of computation courses |
—
|
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: theory of computation courses | Statement: [Computers and Intractability: A Guide to the Theory of NP-Completeness, typicalCourseUsage, theory of computation courses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCourseUsage Context triple: [Computers and Intractability: A Guide to the Theory of NP-Completeness, typicalCourseUsage, theory of computation courses]
-
A.
typicalCourse
chosen
Indicates that one entity is a standard or commonly taken course associated with another entity, such as a program, curriculum, or field of study.
-
B.
usesCourse
Indicates that one entity makes use of, applies, or relies on a particular course in some context or activity.
-
C.
courseUse
Indicates that a course employs, incorporates, or makes use of a particular resource, tool, or material in its instruction or structure.
-
D.
commonCourse
Indicates that two or more entities share at least one course in common.
-
E.
hasTypicalCourse
Indicates that there is a characteristic or commonly observed progression, sequence, or development pattern associated with the subject.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69ff519b65f081909902ba83b775ef85 |
completed | May 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69ff506fccdc8190bd93269589040aed |
completed | May 9, 2026, 3:19 p.m. |
Created at: April 27, 2026, 6:53 a.m.