Triple
T29975216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | けんこくきねんのひ |
E761423
|
entity |
| Predicate | 関連する制度 |
P32380
|
FINISHED |
| Object | 国民の祝日制度 |
—
|
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: 国民の祝日制度 | Statement: [けんこくきねんのひ, 関連する制度, 国民の祝日制度]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関連する制度 Context triple: [けんこくきねんのひ, 関連する制度, 国民の祝日制度]
-
A.
関連施設
Indicates a relationship where one facility is associated with, connected to, or otherwise related to another facility.
-
B.
関連原則
Indicates a principle that is associated with, governs, or is otherwise relevant to another concept, rule, or situation.
-
C.
associatedSystem
chosen
Indicates that one entity is functionally or contextually linked to a particular system with which it interacts or to which it belongs.
-
D.
関連主題
Indicates that there exists a thematically or contextually related subject connected to the given entity.
-
E.
associatedReform
Indicates a relationship where one entity is linked to, connected with, or involved in a particular reform or set of reforms.
- 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_69f22467626081908d5afea489590e96 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f678d44b848190a0c7887baf01b905 |
completed | May 2, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:33 p.m.