Triple
T37946712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linji Monastery |
E946624
|
entity |
| Predicate | coreTeachingFocus |
P15020
|
FINISHED |
| Object | kōan practice |
—
|
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: kōan practice | Statement: [Linji Monastery, coreTeachingFocus, kōan practice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreTeachingFocus Context triple: [Linji Monastery, coreTeachingFocus, kōan practice]
-
A.
coreTeaching
chosen
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
B.
teachingSubject
Indicates that an entity is engaged in teaching or instructing another entity in a particular subject or field of knowledge.
-
C.
scopeOfTeaching
Indicates the range, subjects, or areas that a teaching activity, role, or responsibility covers.
-
D.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
E.
targetsTeaching
Indicates that one entity is the intended focus or recipient of another entity’s teaching efforts or instructional activities.
- 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_69f76ef64cf08190ad3e1114b62aac67 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.