Triple
T10655909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SVT |
E251086
|
entity |
| Predicate | hasService |
P182
|
FINISHED |
| Object | Kunskapskanalen |
E251091
|
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: Kunskapskanalen | Statement: [SVT, hasService, Kunskapskanalen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kunskapskanalen Context triple: [SVT, hasService, Kunskapskanalen]
-
A.
Kunskapskanalen
chosen
Kunskapskanalen is a Swedish television channel focused on educational, factual, and cultural programming.
-
B.
The Learning Channel
The Learning Channel is an American cable television network, now known simply as TLC, that features reality-based lifestyle, family, and personal stories programming.
-
C.
Kanal
"Kanal" is a 1979 Turkish political drama film directed by Erden Kıral, best known for starring acclaimed actor Tarık Akan.
-
D.
Kanal
"Kanal" is a 1957 Polish war film directed by Andrzej Wajda that portrays the tragic fate of Home Army soldiers during the final days of the Warsaw Uprising.
-
E.
Sveriges Television
Sveriges Television is Sweden's national public television broadcaster, known for producing and airing a wide range of news, cultural, and entertainment programming.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dffa73a08190bf661df600b4ab96 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a7aa490819094c7eaf3fc5e2c43 |
completed | April 10, 2026, 10:32 p.m. |
Created at: April 8, 2026, 9:07 p.m.