Triple
T19597717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dashanami Sampradaya |
E470390
|
entity |
| Predicate | geographicOrigin |
P1041
|
FINISHED |
| Object | Bharatavarsha |
—
|
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: Bharatavarsha | Statement: [Dashanami Sampradaya, geographicOrigin, Bharatavarsha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bharatavarsha Context triple: [Dashanami Sampradaya, geographicOrigin, Bharatavarsha]
-
A.
Bharata
Bharata is a virtuous prince in the Hindu epic Ramayana, renowned for his unwavering devotion to his exiled brother Rama and his refusal to usurp the throne.
-
B.
Bharata
Bharata is a revered figure in Indian tradition, often identified as a legendary king and namesake of the ancient land of Bharat (India).
-
C.
Bharata (India)
chosen
Bharata (India) is the traditional Sanskrit name for the Indian subcontinent and the Republic of India, rooted in ancient Hindu texts and cultural heritage.
-
D.
India
India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
-
E.
India
"India" is a popular song by American rapper Lil Durk, known for its melodic style and romantic themes.
- 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_69e6407c52c081908704d3a4dd6e853b |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.