Triple
T8559140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winter Session |
E202646
|
entity |
| Predicate | broadcastBy |
P833
|
FINISHED |
| Object | Sansad TV |
E64342
|
NE 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: Sansad TV | Statement: [Winter Session, broadcastBy, Sansad TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sansad TV Context triple: [Winter Session, broadcastBy, Sansad TV]
-
A.
Sansad TV
chosen
Sansad TV is an Indian parliamentary television channel that provides live coverage and analysis of proceedings from the country's legislative bodies along with related public affairs programming.
-
B.
Vijay TV
Vijay TV is a popular Tamil-language television channel in India known for its entertainment shows, reality programs, and serials.
-
C.
Doordarshan
Doordarshan is India’s public service broadcaster and one of the country’s oldest and most widely accessible television networks.
-
D.
Prasar Bharati
Prasar Bharati is India’s autonomous public service broadcasting corporation, overseeing major national radio and television networks.
-
E.
Shamshad TV
Shamshad TV is a prominent Pashto-language television channel known for broadcasting news, entertainment, and cultural programming to Pashto-speaking audiences, particularly in Afghanistan and Pakistan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9485dd88190bc2cf2adf39d48ee |
completed | March 31, 2026, 3:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce894d82588190b558d5b2dc65eafe |
completed | April 2, 2026, 3:20 p.m. |
Created at: March 30, 2026, 6:20 p.m.