Triple
T5534165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | February |
E145118
|
entity |
| Predicate | hasTypicalSchoolTermAssociation |
P29017
|
FINISHED |
| Object | winter term |
—
|
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: winter term | Statement: [February, hasTypicalSchoolTermAssociation, winter term]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalSchoolTermAssociation Context triple: [February, hasTypicalSchoolTermAssociation, winter term]
-
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.
academicTermType
Indicates the category or classification of an academic term within an educational calendar (e.g., semester, quarter, trimester).
-
C.
hasSchoolYearEndMonth
Indicates the month in which a school year ends for a given educational institution or system.
-
D.
schoolYear
Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
-
E.
typicalSchoolTermContextInUnitedStates
chosen
Indicates the usual academic time period or setting in which something occurs within schools in the United States.
- 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.