Triple
T29399221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōmi court |
E745587
|
entity |
| Predicate | politicalStructureInfluencedBy |
P77475
|
FINISHED |
| Object | Chinese models |
—
|
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: Chinese models | Statement: [Ōmi court, politicalStructureInfluencedBy, Chinese models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalStructureInfluencedBy Context triple: [Ōmi court, politicalStructureInfluencedBy, Chinese models]
-
A.
politicalPowerInfluencedBy
Indicates that the extent or nature of an entity’s political power is shaped, affected, or determined by another entity or factor.
-
B.
associatedPoliticalSystem
Indicates that there exists a political system with which the subject is formally or conceptually connected.
-
C.
politicalFramework
Indicates the overarching system of political structures, principles, and rules that organize and govern relationships and decision-making within a society or institution.
-
D.
countryGovernmentSystemDuringExistence
Indicates the form of government a country had during its period of existence.
-
E.
effectOnPolity
chosen
Indicates the impact or consequence that one entity, event, or action has on a political body or governing organization.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: April 28, 2026, 2:49 p.m.