Triple
T22111291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DD India |
E546423
|
entity |
| Predicate | sisterChannel |
P5818
|
FINISHED |
| Object | DD Kisan |
—
|
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: DD Kisan | Statement: [DD India, sisterChannel, DD Kisan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DD Kisan Context triple: [DD India, sisterChannel, DD Kisan]
-
A.
DD Kisan
chosen
DD Kisan is an Indian public television channel dedicated to agriculture and rural issues, providing information and programming for farmers and rural communities.
-
B.
Kisan
Kisan is a dialect of the Kurux (Oraon) language spoken by indigenous communities in parts of eastern India.
-
C.
Lakhpati Kisan
Lakhpati Kisan is a rural livelihood enhancement initiative that helps small and marginal farmers in India significantly increase their incomes and achieve sustainable prosperity.
-
D.
Ravi Kisan
Ravi Kisan is an Indian actor and politician best known for his work in Bhojpuri cinema as well as Hindi films and television.
-
E.
Ram Baran Yadav
Ram Baran Yadav is a Nepali politician and physician who became the country’s first president following the abolition of the monarchy in 2008.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12949cc7881908898ca7dc130f57f |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:31 p.m.