Triple
T15392148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peninsula College |
E368071
|
entity |
| Predicate | hasAcademicTermSystem |
P72704
|
FINISHED |
| Object | quarter system |
—
|
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: quarter system | Statement: [Peninsula College, hasAcademicTermSystem, quarter system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicTermSystem Context triple: [Peninsula College, hasAcademicTermSystem, quarter system]
-
A.
hasAcademicTerm
Indicates the relationship between an educational program, course, or institution and the specific academic term (e.g., semester, quarter, or session) during which it occurs or is valid.
-
B.
hasAcademicTermStructure
chosen
Indicates that an entity is organized according to a specific pattern or system of academic terms (such as semesters, quarters, or trimesters).
-
C.
hasAcademicSystem
Indicates that an entity is associated with or operates under a particular academic or educational system.
-
D.
academicTermType
Indicates the category or classification of an academic term within an educational calendar (e.g., semester, quarter, trimester).
-
E.
usesAcademicCreditSystem
Indicates that an institution or program organizes and evaluates coursework using a formal academic credit system (e.g., credit hours or units).
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7838b48190862b43c6c8620692 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.