Triple
T37735129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaoshan Weiyan |
E940256
|
entity |
| Predicate | transmittedTeachingsOf |
P153240
|
FINISHED |
| Object | Shitou Xiqian |
—
|
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: Shitou Xiqian | Statement: [Yaoshan Weiyan, transmittedTeachingsOf, Shitou Xiqian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transmittedTeachingsOf Context triple: [Yaoshan Weiyan, transmittedTeachingsOf, Shitou Xiqian]
-
A.
recordsTeachingsOf
Indicates that one entity documents or preserves the teachings, lessons, or doctrinal content associated with another entity.
-
B.
completesTeachingsOf
Indicates that one entity finishes, fulfills, or brings to completion the teachings or doctrinal content associated with another entity.
-
C.
sharesTeachingsWith
chosen
Indicates that one entity communicates or imparts its knowledge, doctrines, or instructional content to another entity.
-
D.
developsTeachingsOf
Indicates that one entity expands, elaborates, or builds upon the teachings or doctrines originally proposed by another entity.
-
E.
taughtThat
Indicates that one entity provided instruction or education to another entity about a specific subject, skill, or concept.
- 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffcb5536d88190bfc2e00b854cacfb |
completed | May 10, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69ffc900c2a081909dea04aa60566923 |
completed | May 9, 2026, 11:53 p.m. |
Created at: May 3, 2026, 4:18 p.m.