Triple
T5129027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patha Bhavana |
E115649
|
entity |
| Predicate | followsEducationalApproach |
P16459
|
FINISHED |
| Object | Tagorean education ideals |
—
|
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: Tagorean education ideals | Statement: [Patha Bhavana, followsEducationalApproach, Tagorean education ideals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsEducationalApproach Context triple: [Patha Bhavana, followsEducationalApproach, Tagorean education ideals]
-
A.
educationalApproach
Indicates the method, strategy, or philosophy used to guide teaching and learning within an educational context.
-
B.
followsEducationalTradition
chosen
Indicates that one entity adheres to, continues, or is guided by the established educational practices, principles, or lineage associated with another entity.
-
C.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
D.
educationalModel
Indicates that one entity serves as an educational model, framework, or paradigm that guides or structures the teaching, learning, or training practices of another entity.
-
E.
educates
Indicates that one entity provides instruction, knowledge, or training to 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:42 p.m.