Triple
T3458864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nelonen |
E72971
|
entity |
| Predicate | onlineService |
P5884
|
FINISHED |
| Object |
Ruutu
Ruutu is a Finnish streaming and on-demand video service offering TV shows, movies, and live channels from the Nelonen Media network.
|
E358520
|
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: Ruutu | Statement: [Nelonen, onlineService, Ruutu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruutu Context triple: [Nelonen, onlineService, Ruutu]
-
A.
Rumuokurusi
Rumuokurusi is a prominent urban community in Obio-Akpor, Rivers State, Nigeria, known for its commercial activity and strategic location within the Port Harcourt metropolitan area.
-
B.
Raukkan
Raukkan is a historic Aboriginal community in South Australia, significant as a cultural and spiritual center for the Ngarrindjeri people.
-
C.
Sivaraksa
Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
-
D.
Upinniemi
Upinniemi is a coastal area in southern Finland known for hosting one of the main naval bases of the Finnish Navy.
-
E.
Häyhä
Häyhä is the surname of Simo Häyhä, the legendary Finnish sniper renowned for his extraordinary marksmanship during the Winter War.
- 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: Ruutu Triple: [Nelonen, onlineService, Ruutu]
Generated description
Ruutu is a Finnish streaming and on-demand video service offering TV shows, movies, and live channels from the Nelonen Media network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruutu Target entity description: Ruutu is a Finnish streaming and on-demand video service offering TV shows, movies, and live channels from the Nelonen Media network.
-
A.
Rumuokurusi
Rumuokurusi is a prominent urban community in Obio-Akpor, Rivers State, Nigeria, known for its commercial activity and strategic location within the Port Harcourt metropolitan area.
-
B.
Raukkan
Raukkan is a historic Aboriginal community in South Australia, significant as a cultural and spiritual center for the Ngarrindjeri people.
-
C.
Sivaraksa
Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
-
D.
Upinniemi
Upinniemi is a coastal area in southern Finland known for hosting one of the main naval bases of the Finnish Navy.
-
E.
Häyhä
Häyhä is the surname of Simo Häyhä, the legendary Finnish sniper renowned for his extraordinary marksmanship during the Winter War.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae4c18881908b48d16e46f78209 |
completed | March 8, 2026, 6:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b361093d288190a023e8485265a989 |
completed | March 13, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b361958fd88190bd4a8d9837af6610 |
completed | March 13, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b362310884819082a59ab92fe05fdd |
completed | March 13, 2026, 1:02 a.m. |
Created at: March 8, 2026, 3:16 p.m.