Triple
T14326767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acting President of the Democratic Party of Japan |
E355234
|
entity |
| Predicate | levelOfPolitics |
P113987
|
FINISHED |
| Object | national |
—
|
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: national | Statement: [Acting President of the Democratic Party of Japan, levelOfPolitics, national]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelOfPolitics Context triple: [Acting President of the Democratic Party of Japan, levelOfPolitics, national]
-
A.
politicalAwareness
Indicates an entity’s level of understanding, concern, or engagement with political issues, processes, or power structures.
-
B.
controlsLevelOfGovernment
Indicates that one entity has authority or power to direct, regulate, or determine the functioning or decisions of a specified level of government.
-
C.
politicalCategory
Indicates the political classification or ideological grouping that an entity belongs to or is associated with.
-
D.
participatesInPoliticsOf
Indicates involvement or active engagement by one entity in the political processes, affairs, or governance activities of another entity.
-
E.
polarizationLevel
Indicates the degree or intensity of polarization present in a given context, such as between opinions, groups, or signals.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883e6a288190b6c22f630a1eef3c |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e9ded24819099200349cf80e068 |
completed | April 14, 2026, 12:10 p.m. |
Created at: April 10, 2026, 1:13 a.m.