Triple
T5948624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gajanana |
E132340
|
entity |
| Predicate | hasMantra |
P36541
|
FINISHED |
| Object | “Om Gajananaya Namah” |
—
|
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: “Om Gajananaya Namah” | Statement: [Gajanana, hasMantra, “Om Gajananaya Namah”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMantra Context triple: [Gajanana, hasMantra, “Om Gajananaya Namah”]
-
A.
hasChant
Indicates that an entity is associated with or characterized by a particular chant.
-
B.
hasBodhisattva
Indicates that one entity includes, is associated with, or is characterized by the presence or guidance of a bodhisattva.
-
C.
hasDevotionalFormula
chosen
Indicates a relationship where one entity includes, uses, or is associated with a specific devotional formula (such as a set religious phrase, prayer, or invocation).
-
D.
hasMatha
Indicates a relationship where one entity possesses, is associated with, or is characterized by a specific matha (monastic institution or religious seat).
-
E.
chantingIs24x7
Indicates that the chanting activity occurs continuously, 24 hours a day, 7 days a week.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0335806788190b6488ca8b73f7a63 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:01 p.m.