Triple
T14378098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yle Vega |
E356525
|
entity |
| Predicate | hasSisterStation |
P15137
|
FINISHED |
| Object |
Yle X3M
Yle X3M is a Finnish Swedish-language radio station operated by the national public broadcaster Yle, targeting younger audiences with music and contemporary programming.
|
E1095988
|
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 X3M | Statement: [Yle Vega, hasSisterStation, Yle X3M]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yle X3M Context triple: [Yle Vega, hasSisterStation, Yle X3M]
-
A.
YleX
YleX is a Finnish national radio station aimed primarily at young audiences, focusing on contemporary music, pop culture, and entertainment.
-
B.
X-32
X-32 is an experimental Boeing-built prototype fighter aircraft developed for the Joint Strike Fighter competition.
-
C.
X3
X3 is the former designation of the standards body now known as INCITS, which oversees information technology standards in the United States.
-
D.
X-333
X-333 is a major process building at the Portsmouth Gaseous Diffusion Plant used in the large-scale enrichment of uranium.
-
E.
Sharp X1
The Sharp X1 is a series of 8-bit home computers released by Sharp Corporation in the early 1980s, known for their advanced graphics and sound capabilities in the Japanese market.
- 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 X3M Triple: [Yle Vega, hasSisterStation, Yle X3M]
Generated description
Yle X3M is a Finnish Swedish-language radio station operated by the national public broadcaster Yle, targeting younger audiences with music and contemporary programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yle X3M Target entity description: Yle X3M is a Finnish Swedish-language radio station operated by the national public broadcaster Yle, targeting younger audiences with music and contemporary programming.
-
A.
YleX
YleX is a Finnish national radio station aimed primarily at young audiences, focusing on contemporary music, pop culture, and entertainment.
-
B.
X-32
X-32 is an experimental Boeing-built prototype fighter aircraft developed for the Joint Strike Fighter competition.
-
C.
X3
X3 is the former designation of the standards body now known as INCITS, which oversees information technology standards in the United States.
-
D.
X-333
X-333 is a major process building at the Portsmouth Gaseous Diffusion Plant used in the large-scale enrichment of uranium.
-
E.
Sharp X1
The Sharp X1 is a series of 8-bit home computers released by Sharp Corporation in the early 1980s, known for their advanced graphics and sound capabilities in the Japanese market.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900a67e08190ab1dcf36e6bb3405 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5728fc819089ef3c7c34b10101 |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4e4bae188190a8d1c5b833d58cd8 |
completed | May 8, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4f5782b4819081d32dbef032ac61 |
completed | May 8, 2026, 2:49 a.m. |
Created at: April 10, 2026, 1:16 a.m.