Triple
T108542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CDFI Bond Guarantee Program |
E2191
|
entity |
| Predicate | riskMitigation |
P1040
|
FINISHED |
| Object | federal government guarantee of bonds |
—
|
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 government guarantee of bonds | Statement: [CDFI Bond Guarantee Program, riskMitigation, federal government guarantee of bonds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riskMitigation Context triple: [CDFI Bond Guarantee Program, riskMitigation, federal government guarantee of bonds]
-
A.
riskLevel
Indicates the degree of potential harm, loss, or adverse outcome associated with a particular situation, action, or entity.
-
B.
riskProfile
Indicates the level and characteristics of potential risk associated with an entity, action, or situation.
-
C.
protects
chosen
Indicates taking action to keep someone or something safe from harm, danger, or negative effects.
-
D.
security
Indicates that an entity provides protection, safety measures, or safeguards to another entity or against specific threats or risks.
-
E.
securityAspect
Indicates a relationship where something pertains to, represents, or characterizes a particular aspect or dimension of security.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a25a1199ac8190ac65ffaaf45b4f5b |
completed | Feb. 28, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69a2563e7188819091e9a94e071991d7 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.