Triple
T1504010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurojust |
E33857
|
entity |
| Predicate | budgetFinancedBy |
P27969
|
FINISHED |
| Object | European Union budget |
—
|
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: European Union budget | Statement: [Eurojust, budgetFinancedBy, European Union budget]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: budgetFinancedBy Context triple: [Eurojust, budgetFinancedBy, European Union budget]
-
A.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
B.
budgetSource
Indicates the origin or provider of the funds used to finance a particular activity, project, or expenditure.
-
C.
budgetFrom
chosen
Indicates that a budget or funding allocation originates from or is provided by a particular source.
-
D.
notFundedBy
Indicates that one entity does not receive financial support, backing, or funding from another entity.
-
E.
fundingModel
Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90584b8b881908e112c7e59163812 |
completed | March 5, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69a88727ce48819089b482cdc25453d1 |
completed | March 4, 2026, 7:25 p.m. |
Created at: March 4, 2026, 7:24 p.m.