Triple
T3511059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yle Radio Suomi |
E74194
|
entity |
| Predicate | hasRegionalStations |
P285
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Yle Radio Suomi, hasRegionalStations, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionalStations Context triple: [Yle Radio Suomi, hasRegionalStations, yes]
-
A.
countryStationed
Indicates that an entity is assigned, based, or deployed within the territory of a specified country.
-
B.
hasRegionalPlatforms
Indicates that an entity operates or is associated with specific platforms that are organized or deployed at a regional level.
-
C.
hasRegion
chosen
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
D.
hasGhostStations
Indicates that a transportation system or network includes disused, closed, or never-opened stations that still physically exist.
-
E.
hasRadioBroadcasts
Indicates that one entity transmits or provides content via radio broadcasts to another entity or audience.
- F. None of above.
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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0f6cf8819098a1ec8693cc50e7 |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0e770481908528fa35eda53003 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.