Triple
T37061728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 枚方市立楠葉中学校 |
E917339
|
entity |
| Predicate | 対象学年 |
P146601
|
FINISHED |
| Object | 中学1年 |
—
|
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: 中学1年 | Statement: [枚方市立楠葉中学校, 対象学年, 中学1年]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 対象学年 Context triple: [枚方市立楠葉中学校, 対象学年, 中学1年]
-
A.
schoolYear
Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
-
B.
targetYearOfStudy
chosen
Indicates the specific academic year or level of study that an entity (such as a course, program, or requirement) is intended or designated for.
-
C.
applicationYear
Indicates the year in which an application was submitted or made.
-
D.
associatedClassYear
Indicates a relationship linking an entity to the specific academic class year with which it is connected or identified.
-
E.
academicYearType
Indicates the classification of an academic year according to its structural or administrative type (e.g., semester-based, quarter-based, fiscal year, etc.).
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.