Triple
T5792134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doordarshan |
E128419
|
entity |
| Predicate | hasChannel |
P8080
|
FINISHED |
| Object |
DD India
DD India is an international English-language news and current affairs television channel operated by India’s public broadcaster Doordarshan.
|
E546423
|
NE FINISHED |
How this triple was built (4 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 India | Statement: [Doordarshan, hasChannel, DD India]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DD India Context triple: [Doordarshan, hasChannel, DD India]
-
A.
IN-DH
IN-DH is the ISO 3166-2 code representing the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
-
B.
Indi
Indi is an Australian federal electoral division in the state of Victoria, encompassing a largely rural and regional area in the state's northeast.
-
C.
IND
IND is the three-letter IATA airport code for Indianapolis International Airport, the primary commercial airport serving Indianapolis, Indiana.
-
D.
IND
IND (Independent Subway System) was New York City's municipally built and operated subway network that later became one of the three major divisions of the unified NYC Subway.
-
E.
IND
IND is the abbreviated name commonly used for the Industriales baseball team, one of the most popular and successful clubs in Cuban baseball.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DD India Triple: [Doordarshan, hasChannel, DD India]
Generated description
DD India is an international English-language news and current affairs television channel operated by India’s public broadcaster Doordarshan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DD India Target entity description: DD India is an international English-language news and current affairs television channel operated by India’s public broadcaster Doordarshan.
-
A.
IN-DH
IN-DH is the ISO 3166-2 code representing the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
-
B.
Indi
Indi is an Australian federal electoral division in the state of Victoria, encompassing a largely rural and regional area in the state's northeast.
-
C.
IND
IND is the three-letter IATA airport code for Indianapolis International Airport, the primary commercial airport serving Indianapolis, Indiana.
-
D.
IND
IND (Independent Subway System) was New York City's municipally built and operated subway network that later became one of the three major divisions of the unified NYC Subway.
-
E.
IND
IND is the abbreviated name commonly used for the Industriales baseball team, one of the most popular and successful clubs in Cuban baseball.
- F. None of above. chosen
Provenance (5 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5870b88190bbfaac2782635128 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09824c7f0819095565e0f29b3a508 |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c098a0325c81909a1326b94e40ed50 |
completed | March 23, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c09943deec819085992c4e44050a34 |
completed | March 23, 2026, 1:37 a.m. |
Created at: March 22, 2026, 3:51 p.m.