Triple
T3474182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yle TV2 |
E73330
|
entity |
| Predicate | formerFundingModel |
P5635
|
FINISHED |
| Object | television licence fee |
—
|
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: television licence fee | Statement: [Yle TV2, formerFundingModel, television licence fee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerFundingModel Context triple: [Yle TV2, formerFundingModel, television licence fee]
-
A.
fundingModel
Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
-
B.
formerBusinessModel
chosen
Indicates that an entity previously operated under a particular business model, but no longer does so.
-
C.
formerSponsor
Indicates that an entity previously acted as a sponsor for another entity but no longer holds that sponsoring role.
-
D.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
E.
formerProduct
Indicates that an entity was previously a product of another entity but is no longer in that role or status.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb580d4c819080bcc0bccd1e18e2 |
completed | March 8, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69adae07802c8190919c49b0e65b2797 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:17 p.m.