Triple
T13780867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DR |
E331126
|
entity |
| Predicate | hasTelevisionChannel |
P8080
|
FINISHED |
| Object |
DR3
DR3 is a Danish television channel operated by the public broadcaster DR, primarily targeting younger audiences with contemporary entertainment, series, and cultural programming.
|
E1064203
|
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: DR3 | Statement: [DR, hasTelevisionChannel, DR3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DR3 Context triple: [DR, hasTelevisionChannel, DR3]
-
A.
DR1
DR1 is Denmark’s primary national television channel, operated by the public broadcaster DR and known for producing high-quality Danish drama and news programming.
-
B.
DRS
DRS is the stock ticker symbol for Leonardo DRS, an American defense technology company specializing in advanced military and intelligence systems.
-
C.
DRS
DRS is the three-letter IATA airport code for Dresden Airport in Dresden, Germany.
-
D.
DR 13 de Marzo
DR 13 de Marzo is a Cuban revolutionary student organization known for its militant opposition to the Batista regime in the 1950s.
-
E.
QDR
QDR is a major U.S. Department of Defense strategic review conducted every four years to assess and guide long-term defense priorities, capabilities, and force structure.
- 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: DR3 Triple: [DR, hasTelevisionChannel, DR3]
Generated description
DR3 is a Danish television channel operated by the public broadcaster DR, primarily targeting younger audiences with contemporary entertainment, series, and cultural programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DR3 Target entity description: DR3 is a Danish television channel operated by the public broadcaster DR, primarily targeting younger audiences with contemporary entertainment, series, and cultural programming.
-
A.
DR1
DR1 is Denmark’s primary national television channel, operated by the public broadcaster DR and known for producing high-quality Danish drama and news programming.
-
B.
DRS
DRS is the stock ticker symbol for Leonardo DRS, an American defense technology company specializing in advanced military and intelligence systems.
-
C.
DRS
DRS is the three-letter IATA airport code for Dresden Airport in Dresden, Germany.
-
D.
DR 13 de Marzo
DR 13 de Marzo is a Cuban revolutionary student organization known for its militant opposition to the Batista regime in the 1950s.
-
E.
QDR
QDR is a major U.S. Department of Defense strategic review conducted every four years to assess and guide long-term defense priorities, capabilities, and force structure.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d4af2081909628c1691e073f6f |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b9d773f881908660e8a0645d318d |
completed | May 3, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7bbf47c888190be32a4105903120a |
completed | May 3, 2026, 9:19 p.m. |
Created at: April 9, 2026, 10:11 p.m.