Triple
T2368315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand education sector |
E46032
|
entity |
| Predicate | hasSchoolYearStartMonth |
P6433
|
FINISHED |
| Object | January |
—
|
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: January | Statement: [New Zealand education sector, hasSchoolYearStartMonth, January]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSchoolYearStartMonth Context triple: [New Zealand education sector, hasSchoolYearStartMonth, January]
-
A.
operatesInSchoolYearSystem
Indicates that an entity functions according to, or is organized around, a specific school year calendar or system.
-
B.
hasMonth
chosen
Indicates that something is associated with, occurs in, or is assigned to a specific month.
-
C.
springTrainingStartYear
Indicates the year in which an entity’s spring training period begins.
-
D.
seasonTypicalStartMonth
Indicates the calendar month in which a particular season usually begins.
-
E.
secondTermStartYear
Indicates the calendar year in which an entity’s second term in a role, office, or position begins.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc76bf75c8190b014c3dbfc46bba3 |
completed | March 7, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69abc59b88348190a2d6c08f69974117 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:56 p.m.