Triple
T23031692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samarth Ramdas |
E573477
|
entity |
| Predicate | emphasisInTeachings |
P106177
|
FINISHED |
| Object | devotion to Rama |
—
|
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: devotion to Rama | Statement: [Samarth Ramdas, emphasisInTeachings, devotion to Rama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasisInTeachings Context triple: [Samarth Ramdas, emphasisInTeachings, devotion to Rama]
-
A.
focusOfTeachings
chosen
Indicates that the object is the primary subject or central theme emphasized in the teachings of the subject.
-
B.
trainingEmphasized
Indicates that particular training or instructional activities are given special focus, priority, or importance within a broader context or process.
-
C.
educationalImportance
Indicates the degree to which something is significant, valuable, or impactful in an educational or learning context.
-
D.
normativelyEmphasizes
Indicates that one entity highlights, prioritizes, or stresses another entity as a standard, value, or principle that ought to be followed or given special importance.
-
E.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f184822a90819081907d72c76770b0 |
completed | April 29, 2026, 4:09 a.m. |
| PD | Predicate disambiguation | batch_69ef3ba004a48190885aece88efd1f52 |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:53 p.m.