Triple
T37879770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōnin |
E944837
|
entity |
| Predicate | hasKeyThemeInScholarship |
P193695
|
FINISHED |
| Object | transition from centralized to fragmented power |
—
|
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: transition from centralized to fragmented power | Statement: [Ōnin, hasKeyThemeInScholarship, transition from centralized to fragmented power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyThemeInScholarship Context triple: [Ōnin, hasKeyThemeInScholarship, transition from centralized to fragmented power]
-
A.
hasTitleInScholarship
Indicates that an entity holds or is associated with a specific title within an academic or scholarly context.
-
B.
hasScholarshipOn
Indicates that one entity provides or holds a scholarship related to another entity, such as a person receiving financial support for study at an institution or in a specific field.
-
C.
hasOrganScholarships
Indicates that an entity offers or provides scholarships specifically related to organ study or performance.
-
D.
scholarshipType
Indicates the specific category or kind of scholarship associated with an entity.
-
E.
classificationInScholarship
Indicates how something is categorized, labeled, or positioned within a scholarly or academic classification system.
- 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69fd4f38728c8190b3271abc80882cfb |
completed | May 8, 2026, 2:49 a.m. |
Created at: May 3, 2026, 4:19 p.m.