Triple
T22111144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DD News |
E546420
|
entity |
| Predicate | availableOn |
P1278
|
FINISHED |
| Object | Doordarshan Free Dish |
E128419
|
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: Doordarshan Free Dish | Statement: [DD News, availableOn, Doordarshan Free Dish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doordarshan Free Dish Context triple: [DD News, availableOn, Doordarshan Free Dish]
-
A.
Doordarshan
chosen
Doordarshan is India’s public service broadcaster and one of the country’s oldest and most widely accessible television networks.
-
B.
Telesat
Telesat is a Canadian satellite communications company that operates and manages telecommunications satellites providing broadcast and broadband services worldwide.
-
C.
Yahsat
Yahsat is a United Arab Emirates-based satellite communications company providing broadband, broadcast, and government services across the Middle East, Africa, Europe, and Asia.
-
D.
DTH
DTH is the ICAO airline designator assigned to Tassili Airlines, an Algerian carrier.
-
E.
DTH
DTH is the station code for Thale Hauptbahnhof, a railway station in Thale, Germany.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12949cc7881908898ca7dc130f57f |
completed | April 28, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f175d2c819096d4a128307f2f67 |
completed | May 18, 2026, 4:01 a.m. |
Created at: April 16, 2026, 8:31 p.m.