Triple
T17938414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gopikas |
E448526
|
entity |
| Predicate | devotionType |
P2154
|
FINISHED |
| Object | MadhuryaBhava |
—
|
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: MadhuryaBhava | Statement: [Gopikas, devotionType, MadhuryaBhava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MadhuryaBhava Context triple: [Gopikas, devotionType, MadhuryaBhava]
-
A.
Madhurya-rasa
chosen
Madhurya-rasa is the intimate, conjugal mood of devotional love in Gaudiya Vaishnavism, exemplified by the gopis’ romantic devotion to Krishna.
-
B.
Madhura
Madhura is an ancient name for the historic North Indian city of Mathura, a major cultural and religious center associated with Hindu traditions.
-
C.
Bhava
Bhava is a Kannada novel by acclaimed Indian writer U. R. Ananthamurthy that explores complex themes of identity, tradition, and modernity.
-
D.
Shubha
Shubha is an epithet of the Hindu goddess Gauri, revered as a benevolent and auspicious form of the divine feminine.
-
E.
Maduraikāñci
Maduraikāñci is a classical Tamil poem from the Sangam era, renowned for its vivid portrayal of the city of Madurai, its society, and cultural life.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad9455fc81908bf595f9ed42c624 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.