Triple
T22776819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European university networks |
E563724
|
entity |
| Predicate | oftenFundedBy |
P67
|
FINISHED |
| Object | European Union programmes |
—
|
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 programmes | Statement: [European university networks, oftenFundedBy, European Union programmes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenFundedBy Context triple: [European university networks, oftenFundedBy, European Union programmes]
-
A.
fundedBy
chosen
Indicates that an entity receives financial support or resources from another entity.
-
B.
funderOf
Indicates that one entity provides financial support or funding for another entity, project, or activity.
-
C.
seeksFundingFrom
Indicates that one entity is actively trying to obtain financial support or investment from another entity.
-
D.
funderType
Indicates the category or kind of organization or individual that provides funding in the relationship.
-
E.
publiclyFunded
Indicates that the entity receives financial support from public sources such as government budgets or taxpayer funds.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b6260a8819080e57481281dfe40 |
completed | April 29, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:28 p.m.