Triple
T21685048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大隈重信 |
E535207
|
entity |
| Predicate | 宗教・思想 |
P56366
|
FINISHED |
| Object | キリスト教に理解を示した自由主義者 |
—
|
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: キリスト教に理解を示した自由主義者 | Statement: [大隈重信, 宗教・思想, キリスト教に理解を示した自由主義者]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 宗教・思想 Context triple: [大隈重信, 宗教・思想, キリスト教に理解を示した自由主義者]
-
A.
religionOrBelief
chosen
Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
-
B.
religiousScholarship
Indicates a relationship where an entity provides or is associated with financial or institutional support specifically for religious study or education.
-
C.
subjectReligion
Indicates that the subject is associated with, practices, or adheres to a particular religion.
-
D.
otherReligion
Indicates that one entity follows or is associated with a religion that is different from the religion of another entity.
-
E.
religiousTraditions
Indicates a relationship where certain religious customs, practices, or belief systems are associated with or observed by an entity.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96ca668481909f53853c7a8ea811 |
completed | April 27, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:44 p.m.