Triple
T11853016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rinzai |
E281956
|
entity |
| Predicate | oneOfMajorZenSchoolsInJapan |
P101864
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Rinzai, oneOfMajorZenSchoolsInJapan, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfMajorZenSchoolsInJapan Context triple: [Rinzai, oneOfMajorZenSchoolsInJapan, yes]
-
A.
placeOfEnlightenment
Indicates the location or setting where an entity attains spiritual or intellectual enlightenment.
-
B.
isLargestBuddhistOrderIn
Indicates that a Buddhist order is the largest such organization within a specified geographic or political region.
-
C.
BuddhistTradition
Indicates that an entity follows, embodies, or is associated with Buddhist religious, philosophical, or cultural traditions.
-
D.
numberOfSutras
Indicates the quantity or count of sutras associated with a given entity.
-
E.
viewOnBuddhism
Indicates the stance, opinion, or perspective that an entity holds regarding Buddhism.
- 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.