Triple
T30714803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōbaku school |
E781993
|
entity |
| Predicate | doctrineBlend |
P170060
|
FINISHED |
| Object | Chinese Chan practices |
—
|
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: Chinese Chan practices | Statement: [Ōbaku school, doctrineBlend, Chinese Chan practices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doctrineBlend Context triple: [Ōbaku school, doctrineBlend, Chinese Chan practices]
-
A.
doctrineRefined
Indicates that an existing doctrine has been further developed, clarified, or improved in its formulation or application.
-
B.
doctrineBasisFor
Indicates that one doctrine serves as a foundational justification, support, or underlying basis for another doctrine or position.
-
C.
doctrineOf
Indicates a relationship where one entity is the doctrinal teaching, principle, or belief system associated with, derived from, or formally held by another entity.
-
D.
doctrineFocus
Indicates that a doctrine, teaching, or belief is primarily concerned with, centered on, or directed toward a particular subject or theme.
-
E.
doctrineExplainedBy
Indicates that an explanation or interpretation is provided for a particular doctrine by a specified source or agent.
- 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68c219d8081909c9f471c50bffe67 |
completed | May 2, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 29, 2026, 8:35 p.m.