Triple
T3442992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yleisradio |
E72607
|
entity |
| Predicate | hasService |
P182
|
FINISHED |
| Object | YleX |
E72609
|
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: YleX | Statement: [Yleisradio, hasService, YleX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YleX Context triple: [Yleisradio, hasService, YleX]
-
A.
YleX
chosen
YleX is a Finnish national radio station aimed primarily at young audiences, focusing on contemporary music, pop culture, and entertainment.
-
B.
YXU
YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
-
C.
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.
-
D.
Xelb
Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
-
E.
LX
LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba28ec448190a6a07c5f16235fe3 |
completed | March 8, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35486f7a08190885e98bb89e74f15 |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:16 p.m.