Triple
T35927248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bureau of Preparedness and Grants |
E1039057
|
entity |
| Predicate | fundingTypeManaged |
P37457
|
FINISHED |
| Object | disaster preparedness grants |
—
|
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: disaster preparedness grants | Statement: [Bureau of Preparedness and Grants, fundingTypeManaged, disaster preparedness grants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fundingTypeManaged Context triple: [Bureau of Preparedness and Grants, fundingTypeManaged, disaster preparedness grants]
-
A.
fundedEntityType
Indicates the type or category of entity that receives funding in the described funding relationship.
-
B.
fundingModel
Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
-
C.
fundingContext
chosen
Indicates the circumstances, purpose, or conditions under which funding is provided or used in a given relationship or action.
-
D.
fundingStatus
Indicates the current state or condition of financial support or backing associated with an entity or activity.
-
E.
funderType
Indicates the category or kind of organization or individual that provides funding in the relationship.
- 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_69f76e23e4688190a5369138755138bf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.