Triple
T11672627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | no-mind (wuxin) |
E277416
|
entity |
| Predicate | aimOfPractice |
P64674
|
FINISHED |
| Object | Chan meditation |
—
|
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: Chan meditation | Statement: [no-mind (wuxin), aimOfPractice, Chan meditation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimOfPractice Context triple: [no-mind (wuxin), aimOfPractice, Chan meditation]
-
A.
aimOf
chosen
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
B.
isPracticedBy
Indicates that an activity, skill, or discipline is regularly performed or carried out by a particular entity.
-
C.
aimsToMeasure
Indicates that one entity is intended or designed to quantify, assess, or evaluate another entity or property.
-
D.
aimsToSolve
Indicates an intention or purpose directed toward resolving, addressing, or eliminating a particular problem, challenge, or issue.
-
E.
typicalPractice
Indicates that an action, behavior, or method is commonly or customarily done in a given context or by a given group.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a443b6848190a1eb6825fbc49d08 |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a77e6e88190b7519100bde76575 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.