Triple
T579914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yleisradio |
E15033
|
entity |
| Predicate | mainTVChannels |
P833
|
FINISHED |
| Object |
Yle Teema & Fem
Yle Teema & Fem is a Finnish public television channel combining Yle’s cultural and educational programming with Swedish-language content for bilingual audiences.
|
E72608
|
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: Yle Teema & Fem | Statement: [Yleisradio, mainTVChannels, Yle Teema & Fem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yle Teema & Fem Context triple: [Yleisradio, mainTVChannels, Yle Teema & Fem]
-
A.
Rema
Rema is a Nigerian singer, songwriter, and rapper known for his influential role in modern Afrobeats and hit songs like "Dumebi" and "Calm Down."
-
B.
HiØ
HiØ is the Norwegian abbreviation for Østfold University College, a public institution of higher education and research in the Østfold region of Norway.
-
C.
Mika
Mika is a British-Lebanese pop singer-songwriter known for his flamboyant style and hit singles like "Grace Kelly."
-
D.
Brega
Brega is a strategic coastal town in northeastern Libya known for its major oil facilities and its role as a key battleground during the 2011 Libyan Civil War.
-
E.
Bendre
Bendre is a celebrated Kannada poet and writer, renowned for his lyrical and modernist contributions to 20th-century Kannada literature.
- 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: Yle Teema & Fem Triple: [Yleisradio, mainTVChannels, Yle Teema & Fem]
Generated description
Yle Teema & Fem is a Finnish public television channel combining Yle’s cultural and educational programming with Swedish-language content for bilingual audiences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yle Teema & Fem Target entity description: Yle Teema & Fem is a Finnish public television channel combining Yle’s cultural and educational programming with Swedish-language content for bilingual audiences.
-
A.
Rema
Rema is a Nigerian singer, songwriter, and rapper known for his influential role in modern Afrobeats and hit songs like "Dumebi" and "Calm Down."
-
B.
HiØ
HiØ is the Norwegian abbreviation for Østfold University College, a public institution of higher education and research in the Østfold region of Norway.
-
C.
Mika
Mika is a British-Lebanese pop singer-songwriter known for his flamboyant style and hit singles like "Grace Kelly."
-
D.
Brega
Brega is a strategic coastal town in northeastern Libya known for its major oil facilities and its role as a key battleground during the 2011 Libyan Civil War.
-
E.
Bendre
Bendre is a celebrated Kannada poet and writer, renowned for his lyrical and modernist contributions to 20th-century Kannada literature.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49d2a5f5481908bb9a71ff0f534d4 |
completed | March 1, 2026, 8:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a501c1b8448190847197d984f211c3 |
completed | March 2, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69a503b501388190baed19e781c24b4d |
completed | March 2, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5077cf14081909478ea1e0fd3eff5 |
completed | March 2, 2026, 3:43 a.m. |
Created at: March 1, 2026, 7:33 p.m.