Triple
T5126435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaudiya Vaishnavism |
E115594
|
entity |
| Predicate | teachesGoalOfLife |
P21344
|
FINISHED |
| Object | prema-bhakti (pure love of God) |
—
|
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: prema-bhakti (pure love of God) | Statement: [Gaudiya Vaishnavism, teachesGoalOfLife, prema-bhakti (pure love of God)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachesGoalOfLife Context triple: [Gaudiya Vaishnavism, teachesGoalOfLife, prema-bhakti (pure love of God)]
-
A.
educationalObjective
Indicates the intended learning goal, skill, or competency that an educational resource, activity, or program is designed to achieve.
-
B.
teachesAbout
chosen
Indicates that one entity provides instruction or information to another entity on a particular subject or topic.
-
C.
didacticPurpose
Indicates that something is intended to teach, instruct, or convey educational content or guidance.
-
D.
taughtThat
Indicates that one entity provided instruction or education to another entity about a specific subject, skill, or concept.
-
E.
goalDescription
Indicates that an entity expresses, specifies, or provides a textual description of a goal or intended outcome associated with another entity or activity.
- 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_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77aa68b88190a50dd736a72d2901 |
completed | March 20, 2026, 4:36 p.m. |
Created at: March 20, 2026, 1:42 p.m.