Triple
T17541558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greco-Buddhist art |
E427209
|
entity |
| Predicate | hasScholarlyField |
P934
|
FINISHED |
| Object | Buddhist studies |
—
|
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: Buddhist studies | Statement: [Greco-Buddhist art, hasScholarlyField, Buddhist studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScholarlyField Context triple: [Greco-Buddhist art, hasScholarlyField, Buddhist studies]
-
A.
isAcademicJournalInField
Indicates that an academic journal primarily publishes content within a specified academic field or discipline.
-
B.
hasAcademicFieldGroup
Indicates that an entity is associated with, or belongs to, a particular group or category of academic fields.
-
C.
hasNotableScholar
Indicates that an entity is associated with a scholar who is recognized as particularly distinguished or influential in relation to that entity.
-
D.
isScholarly
Indicates that an entity exhibits characteristics of academic rigor, research-based inquiry, and adherence to scholarly standards or conventions.
-
E.
hasResearchArea
chosen
Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4545e64448190a2a63bc13f549027 |
completed | April 19, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.