Triple
T1808524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Small Business Investment Company |
E40275
|
entity |
| Predicate | eligibleBusinessType |
P32150
|
FINISHED |
| Object | for-profit small business |
—
|
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: for-profit small business | Statement: [Small Business Investment Company, eligibleBusinessType, for-profit small business]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibleBusinessType Context triple: [Small Business Investment Company, eligibleBusinessType, for-profit small business]
-
A.
hasBusiness
Indicates that one entity owns, operates, or is formally associated with a business entity.
-
B.
employerType
Indicates the classification or category of an employer in relation to the entity (e.g., public, private, nonprofit, self-employed).
-
C.
usesLegalEntity
Indicates that one entity makes use of, operates through, or conducts activities via a particular legal entity (such as a company, organization, or other legally recognized body).
-
D.
notableServiceType
Indicates that the subject is associated with a particular type or category of service that is especially notable or significant.
-
E.
hasTypeOfOrganization
Indicates that an entity is classified as belonging to a particular type or category of organization.
- F. None of above. chosen
Provenance (4 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab694d75ac8190a4d61399c04b9fb9 |
completed | March 6, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69aa61d6b8ec8190a1597b2e44ea6534 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab694bf6a08190a02ce2fc979e6701 |
completed | March 6, 2026, 11:54 p.m. |
Created at: March 4, 2026, 7:32 p.m.