Triple
T12559823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NPR Foundation |
E295311
|
entity |
| Predicate | raisesFundsFrom |
P67
|
FINISHED |
| Object | individual donors |
—
|
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: individual donors | Statement: [NPR Foundation, raisesFundsFrom, individual donors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raisesFundsFrom Context triple: [NPR Foundation, raisesFundsFrom, individual donors]
-
A.
raisedMoneyFor
Indicates that one entity collected or obtained funds specifically to support or benefit another entity, cause, or purpose.
-
B.
seeksFundingFrom
Indicates that one entity is actively trying to obtain financial support or investment from another entity.
-
C.
fundedBy
chosen
Indicates that an entity receives financial support or resources from another entity.
-
D.
funderOf
Indicates that one entity provides financial support or funding for another entity, project, or activity.
-
E.
raisesCapitalFrom
Indicates that one entity obtains funding or financial resources from another entity.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:48 p.m.