Triple
T19593819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vedic Hinduism |
E470300
|
entity |
| Predicate | usesMeter |
P4875
|
FINISHED |
| Object | gayatri meter |
—
|
NE NERFINISHED |
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: gayatri meter | Statement: [Vedic Hinduism, usesMeter, gayatri meter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: gayatri meter Context triple: [Vedic Hinduism, usesMeter, gayatri meter]
-
A.
Gayatri Japam
Gayatri Japam is a Hindu ritual observance dedicated to the chanting of the Gayatri Mantra for spiritual purification and upliftment.
-
B.
Gayatri Mantra
The Gayatri Mantra is one of Hinduism’s most revered Vedic chants, invoking the divine light of universal consciousness for spiritual awakening and wisdom.
-
C.
Vedic prosody
Vedic prosody is the traditional system of analyzing and classifying the metrical patterns and rhythmic structures of verses in the ancient Vedic Sanskrit texts.
-
D.
Gayatri
chosen
Gayatri is a highly revered Vedic poetic meter consisting of three lines of eight syllables each, widely used in Hindu sacred hymns and mantras.
-
E.
Anushtubh meter
The Anushtubh meter is a classical Sanskrit poetic meter of four eight-syllable lines, most famously used throughout the verses of the Ramayana and Mahabharata.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640782e2c8190b5baef07a2bdd015 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.