Triple
T3525072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Regional Development Fund |
E74517
|
entity |
| Predicate | fundingPeriod |
P49263
|
FINISHED |
| Object | multiannual financial framework 2007–2013 |
—
|
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: multiannual financial framework 2007–2013 | Statement: [European Regional Development Fund, fundingPeriod, multiannual financial framework 2007–2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fundingPeriod Context triple: [European Regional Development Fund, fundingPeriod, multiannual financial framework 2007–2013]
-
A.
fundingSpeed
Indicates how quickly financial resources are provided or disbursed within a given funding relationship or process.
-
B.
fundingContext
Indicates the circumstances, purpose, or conditions under which funding is provided or used in a given relationship or action.
-
C.
fundingModel
Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
-
D.
focusPeriodEnd
Indicates the point in time at which a specified focus period or interval concludes.
-
E.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
- F. None of above. chosen
Provenance (4 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6a8d0c819094d38b9c47fb67b4 |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb21a437c81908bca88d5e123d744 |
completed | March 8, 2026, 5:30 p.m. |
Created at: March 8, 2026, 3:19 p.m.