Triple
T3443105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YleX |
E72609
|
entity |
| Predicate | hasSisterStation |
P15137
|
FINISHED |
| Object |
YleX3
YleX3 was a Finnish digital radio station operated by the national broadcaster Yle, focusing on youth-oriented music and entertainment programming.
|
E72609
|
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: YleX3 | Statement: [YleX, hasSisterStation, YleX3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YleX3 Context triple: [YleX, hasSisterStation, YleX3]
-
A.
YleX
YleX is a Finnish national radio station aimed primarily at young audiences, focusing on contemporary music, pop culture, and entertainment.
-
B.
X3
X3 is the former designation of the standards body now known as INCITS, which oversees information technology standards in the United States.
-
C.
YXU
YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
-
D.
l’X
l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
-
E.
Xelb
Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
- 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: YleX3 Triple: [YleX, hasSisterStation, YleX3]
Generated description
YleX3 was a Finnish digital radio station operated by the national broadcaster Yle, focusing on youth-oriented music and entertainment programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: YleX3 Target entity description: YleX3 was a Finnish digital radio station operated by the national broadcaster Yle, focusing on youth-oriented music and entertainment programming.
-
A.
YleX
chosen
YleX is a Finnish national radio station aimed primarily at young audiences, focusing on contemporary music, pop culture, and entertainment.
-
B.
X3
X3 is the former designation of the standards body now known as INCITS, which oversees information technology standards in the United States.
-
C.
YXU
YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
-
D.
l’X
l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
-
E.
Xelb
Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
- F. None of above.
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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba2a605c8190a0eafdf6f25b1e38 |
completed | March 8, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367fa3bc48190a3ed0bb8a5d8e8b2 |
completed | March 13, 2026, 1:27 a.m. |
| NEDg | Description generation | batch_69b36855ea3c81908cd23ec0e454fbad |
completed | March 13, 2026, 1:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b368b79eb08190ba4b65213dd1650c |
completed | March 13, 2026, 1:30 a.m. |
Created at: March 8, 2026, 3:16 p.m.