Triple
T11256236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 春の叙勲 |
E266444
|
entity |
| Predicate | 選考方式 |
P126
|
FINISHED |
| Object | 各府省庁等からの推薦に基づく選考 |
—
|
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: 各府省庁等からの推薦に基づく選考 | Statement: [春の叙勲, 選考方式, 各府省庁等からの推薦に基づく選考]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 選考方式 Context triple: [春の叙勲, 選考方式, 各府省庁等からの推薦に基づく選考]
-
A.
judgesSelectionMethod
Indicates that a judge or judging body uses a particular method or criteria to evaluate and select among options or candidates.
-
B.
ドラフト種別
Indicates the type or category of a draft in relation to how it was created, selected, or classified.
-
C.
jurySelectionMethod
Indicates the process or criteria used to choose individuals who will serve on a jury.
-
D.
selectionProcess
chosen
Indicates the procedure or set of steps by which one or more options are evaluated and chosen from a larger set of candidates.
-
E.
qualificationProcess
Indicates the process or set of steps through which an entity is evaluated and approved as meeting required qualifications or standards.
- 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_69d7e935b85c819085e1abf2dd4099c5 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d78793c00481908a3f764b610b77a4 |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.