Triple
T11770754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caodong school |
E279888
|
entity |
| Predicate | practiceEnvironment |
P101490
|
FINISHED |
| Object | monastic communities |
—
|
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: monastic communities | Statement: [Caodong school, practiceEnvironment, monastic communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: practiceEnvironment Context triple: [Caodong school, practiceEnvironment, monastic communities]
-
A.
practice
Indicates that an entity regularly performs an activity or skill, typically to improve proficiency or maintain competence.
-
B.
practiceType
Indicates the specific kind or category of practice associated with an entity or activity.
-
C.
practiceElement
Indicates that one entity is a component, step, or sub-activity within a broader practice or procedure involving another entity.
-
D.
practiceFacility
Indicates that a location serves as a facility where individuals or groups regularly practice a particular activity, skill, or sport.
-
E.
professionalEnvironment
Indicates a relationship where an entity operates, interacts, or exists within a work-related or career-oriented setting or context.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a8c2e8b08190a31b1e284fca2aee |
completed | April 10, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69d8a242cd8c819086ed6c5f292dc8cb |
completed | April 10, 2026, 7:09 a.m. |
| PDg | Predicate description generation | batch_69d8a8c07d648190b8650d31f3a15090 |
completed | April 10, 2026, 7:37 a.m. |
Created at: April 8, 2026, 9:41 p.m.