Triple
T2279080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sveriges Television |
E51238
|
entity |
| Predicate | operatesChannel |
P5884
|
FINISHED |
| Object |
SVT24
SVT24 is a Swedish digital television channel from public broadcaster Sveriges Television, primarily focused on news, current affairs, and rebroadcasts.
|
E254013
|
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: SVT24 | Statement: [Sveriges Television, operatesChannel, SVT24]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SVT24 Context triple: [Sveriges Television, operatesChannel, SVT24]
-
A.
SVT2
SVT2 is a Swedish public television channel known for its focus on culture, current affairs, and minority-language programming.
-
B.
SVT
SVT (Special Vehicle Team) is Ford Motor Company's high-performance division responsible for developing enhanced, limited-production models like the Cobra R.
-
C.
SVT
SVT is Sweden's national public television broadcaster, known for providing news, entertainment, and cultural programming.
-
D.
SVT1
SVT1 is a major Swedish public television channel known for news, current affairs, and a broad range of general-interest programming.
-
E.
VTST
VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
- 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: SVT24 Triple: [Sveriges Television, operatesChannel, SVT24]
Generated description
SVT24 is a Swedish digital television channel from public broadcaster Sveriges Television, primarily focused on news, current affairs, and rebroadcasts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SVT24 Target entity description: SVT24 is a Swedish digital television channel from public broadcaster Sveriges Television, primarily focused on news, current affairs, and rebroadcasts.
-
A.
SVT2
SVT2 is a Swedish public television channel known for its focus on culture, current affairs, and minority-language programming.
-
B.
SVT
SVT (Special Vehicle Team) is Ford Motor Company's high-performance division responsible for developing enhanced, limited-production models like the Cobra R.
-
C.
SVT
SVT is Sweden's national public television broadcaster, known for providing news, entertainment, and cultural programming.
-
D.
SVT1
SVT1 is a major Swedish public television channel known for news, current affairs, and a broad range of general-interest programming.
-
E.
VTST
VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2194150819083156e4dcd45a423 |
completed | March 7, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f11ea248190be3092985edcb29b |
completed | March 9, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69ae80be3354819088486da5e4c05909 |
completed | March 9, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8171d1fc8190bc95d1eedc629294 |
completed | March 9, 2026, 8:14 a.m. |
Created at: March 4, 2026, 7:48 p.m.