Triple
T23031630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atmaram |
E573475
|
entity |
| Predicate | didacticNature |
P27488
|
FINISHED |
| Object | instructional text on spiritual life |
—
|
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: instructional text on spiritual life | Statement: [Atmaram, didacticNature, instructional text on spiritual life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: didacticNature Context triple: [Atmaram, didacticNature, instructional text on spiritual life]
-
A.
didacticPurpose
chosen
Indicates that something is intended to teach, instruct, or convey educational content or guidance.
-
B.
didacticCharacter
Indicates that one entity serves a teaching or instructional role toward another, conveying guidance, lessons, or moral instruction.
-
C.
definedTeaching
Indicates that one entity has formally specified or established the teaching content, method, or curriculum for another entity.
-
D.
taughtThat
Indicates that one entity provided instruction or education to another entity about a specific subject, skill, or concept.
-
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.