Triple
T2045882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HBCUs |
E45449
|
entity |
| Predicate | fundingSources |
P13615
|
FINISHED |
| Object | federal funding |
—
|
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: federal funding | Statement: [HBCUs, fundingSources, federal funding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fundingSources Context triple: [HBCUs, fundingSources, federal funding]
-
A.
fundedBy
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.
funderType
Indicates the category or kind of organization or individual that provides funding in the relationship.
-
D.
revenueSources
chosen
Indicates the relationship identifying where an entity’s revenue comes from or the different streams that generate its income.
-
E.
funds
Indicates that one entity provides financial resources or monetary support to another entity or activity.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.