Triple
T19129779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 郵政大臣 |
E468283
|
entity |
| Predicate | 政治的性格 |
P5316
|
FINISHED |
| Object | 行政官庁の長 |
—
|
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: 行政官庁の長 | Statement: [郵政大臣, 政治的性格, 行政官庁の長]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 政治的性格 Context triple: [郵政大臣, 政治的性格, 行政官庁の長]
-
A.
性格
Indicates a relationship where one entity’s personality, character, or temperament is being described, attributed, or characterized in relation to that entity.
-
B.
ideologicalCharacter
Indicates a relationship where one entity embodies, expresses, or is defined by a particular ideology or set of ideological traits.
-
C.
politicalTendency
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
D.
hasPoliticalCharacteristic
chosen
Indicates that an entity possesses a specific political attribute, quality, or affiliation.
-
E.
politicalPattern
Indicates a recurring or characteristic way in which political behaviors, decisions, or power dynamics are organized or expressed.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cf8d348190b27fc7d7d39f46f1 |
completed | April 20, 2026, 8:29 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.