Triple
T11246148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 情報科学研究科 |
E266209
|
entity |
| Predicate | 教育課程 |
P27364
|
FINISHED |
| Object | 博士前期課程 |
—
|
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: 博士前期課程 | Statement: [情報科学研究科, 教育課程, 博士前期課程]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 教育課程 Context triple: [情報科学研究科, 教育課程, 博士前期課程]
-
A.
educationSystem
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
-
B.
освіта
Indicates that one entity provides, has, or is associated with the education or educational background of another entity.
-
C.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
D.
educationalSector
Indicates a relationship in which something is part of, associated with, or operates within the education or schooling domain.
-
E.
educationSetting
chosen
Indicates the type or context of the educational environment in which the related entity participates or operates.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91c045c81908a9024a8aee32f4d |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.