Triple
T24613410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagato Domain |
E609180
|
entity |
| Predicate | notableEducationalInstitution |
P51096
|
FINISHED |
| Object | Shōka Sonjuku |
—
|
NE NERFINISHED |
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: Shōka Sonjuku | Statement: [Nagato Domain, notableEducationalInstitution, Shōka Sonjuku]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEducationalInstitution Context triple: [Nagato Domain, notableEducationalInstitution, Shōka Sonjuku]
-
A.
notableInstitution
Indicates that an institution holds particular significance, prominence, or recognition in relation to the subject.
-
B.
notableAlmaMater
Indicates that an educational institution is a particularly significant or distinguished alma mater of a person or entity, beyond merely having attended or graduated.
-
C.
hasMajorEducationalInstitutions
chosen
Indicates that the subject possesses or hosts significant higher-level educational organizations or facilities, such as universities or major colleges.
-
D.
notableInstitutionNamedAfter
Indicates that an institution of significant prominence is named in honor of a particular person, place, or entity.
-
E.
servesAsAlmaMaterOf
Indicates that an educational institution is the alma mater of a person or entity, meaning they previously studied or graduated there.
- 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_69e2c4d1140081909c58667bf68f80c3 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.