Triple
T4921651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lalita Sahasranama |
E110478
|
entity |
| Predicate | recitationBenefit |
P60052
|
FINISHED |
| Object | spiritual merit |
—
|
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: spiritual merit | Statement: [Lalita Sahasranama, recitationBenefit, spiritual merit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recitationBenefit Context triple: [Lalita Sahasranama, recitationBenefit, spiritual merit]
-
A.
recitationRecommended
Indicates that a particular recitation session or section is recommended for an entity, such as a student or course.
-
B.
recitationCustom
Indicates that one entity performs or delivers a recitation in a customized or non-standard manner for another entity or context.
-
C.
recitationTradition
Indicates a relationship where a text, work, or content is transmitted or performed according to a particular established style, method, or lineage of recitation.
-
D.
recitationRecommendedBy
Indicates that one entity recommends or endorses another entity as suitable or preferred for recitation.
-
E.
recitationRecommendedAfter
Indicates that one item is advised or suggested to be recited after another in a recommended sequence.
- F. None of above. chosen
Provenance (4 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffc2ab08190992db2400562bcee |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3421588190ab08e92b9558042e |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6e482984819087124216738f1e29 |
completed | March 20, 2026, 3:56 p.m. |
Created at: March 20, 2026, 1:30 p.m.