Triple
T11853039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rinzai |
E281956
|
entity |
| Predicate | hasSubschoolsInJapan |
P101868
|
FINISHED |
| Object | Myōshin-ji branch |
—
|
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: Myōshin-ji branch | Statement: [Rinzai, hasSubschoolsInJapan, Myōshin-ji branch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubschoolsInJapan Context triple: [Rinzai, hasSubschoolsInJapan, Myōshin-ji branch]
-
A.
hasSubCampus
Indicates that an institution or main campus includes or is associated with a smaller, subordinate campus as part of its organizational structure.
-
B.
isInCentralJapan
Indicates that something is located within the central region of Japan.
-
C.
hasSpecializedSchool
Indicates that an entity operates or is associated with a school focused on a specific field, discipline, or specialized type of education.
-
D.
hasNumberOfSchools
Indicates the quantity of schools associated with a given entity.
-
E.
containsSubprefecture
Indicates that one administrative region includes a subprefecture within its territorial or organizational boundaries.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a696ee548190800d56c64c339b10 |
completed | April 10, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.