Triple
T4295181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Iyesato Tokugawa |
E99692
|
entity |
| Predicate | policyAdvocacy |
P33
|
FINISHED |
| Object | supported naval disarmament |
—
|
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: supported naval disarmament | Statement: [Prince Iyesato Tokugawa, policyAdvocacy, supported naval disarmament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policyAdvocacy Context triple: [Prince Iyesato Tokugawa, policyAdvocacy, supported naval disarmament]
-
A.
policyFocus
Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
-
B.
policyApproach
Indicates the strategy, method, or overall course of action adopted in creating, implementing, or managing a policy.
-
C.
advocates
chosen
Indicates that one entity publicly supports, recommends, or argues in favor of another entity or its interests.
-
D.
politicalAct
Indicates that an entity performs, participates in, or is involved with an action related to politics, governance, or public policy.
-
E.
advocacyOrganization
Indicates that an organization actively supports, promotes, or works on behalf of a cause, issue, or group through advocacy activities.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35085b864819086cf726285384566 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fe55a88190b77bab0c0f38e1aa |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.