Triple
T5534106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | January |
E145117
|
entity |
| Predicate | isInSemester |
P52927
|
FINISHED |
| Object | first semester |
—
|
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: first semester | Statement: [January, isInSemester, first semester]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInSemester Context triple: [January, isInSemester, first semester]
-
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.
timeWithinAcademicYear
chosen
Indicates that a specified time or date falls within the bounds of a defined academic year period.
-
C.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
-
D.
isGradeWithin
Indicates that a given grade value falls within a specified acceptable or defined grade range.
-
E.
hasSeasonalStatus
Indicates that an entity’s status, availability, or condition varies according to a particular season or time of year.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fa0141c81909a216be9f48d64e1 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:34 p.m.