Triple
T14525764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 日本国旗 |
E340770
|
entity |
| Predicate | 侮辱行為の扱い |
P114605
|
FINISHED |
| Object | 刑法上の保護対象ではないが社会的議論の対象 |
—
|
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: 刑法上の保護対象ではないが社会的議論の対象 | Statement: [日本国旗, 侮辱行為の扱い, 刑法上の保護対象ではないが社会的議論の対象]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 侮辱行為の扱い Context triple: [日本国旗, 侮辱行為の扱い, 刑法上の保護対象ではないが社会的議論の対象]
-
A.
offense
Indicates that one entity commits, causes, or is responsible for a violation, wrongdoing, or rule-breaking act against another entity or governing norms.
-
B.
punishmentChallenged
Indicates that an imposed punishment is being questioned, disputed, or formally contested.
-
C.
rebukes
Indicates that one entity expresses sharp disapproval or criticism toward another, often to correct or reprimand their behavior or actions.
-
D.
violationOf
Indicates that one entity breaches, disobeys, or infringes upon a rule, law, agreement, or right associated with another entity.
-
E.
insultedAs
Indicates that one entity directed an insulting or offensive remark or action toward another entity, characterizing the target in a demeaning way.
- F. None of above. chosen
Provenance (4 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea050781881909ed685d94479bf99 |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb5ac548190932f238e37271741 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:22 a.m.