Triple
T133947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Small Business Technology Transfer program |
E2709
|
entity |
| Predicate | researchInstitutionShareOfWorkRequirement |
P4257
|
FINISHED |
| Object | minimum 30 percent of R&D effort |
—
|
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: minimum 30 percent of R&D effort | Statement: [Small Business Technology Transfer program, researchInstitutionShareOfWorkRequirement, minimum 30 percent of R&D effort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchInstitutionShareOfWorkRequirement Context triple: [Small Business Technology Transfer program, researchInstitutionShareOfWorkRequirement, minimum 30 percent of R&D effort]
-
A.
sharesInstitution
Indicates that two entities are affiliated with or belong to the same institution.
-
B.
includesInstitution
Indicates that one entity contains, encompasses, or has as a member a particular institution.
-
C.
hasAcademicAffiliation
Indicates that an entity is formally associated with an academic institution, such as through employment, enrollment, or official collaboration.
-
D.
workInstitution
Indicates that an entity is employed by or works at a particular institution.
-
E.
involvesInstitution
chosen
Indicates that an action, event, or relationship includes or is associated with an institution as a participating party.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25788b2688190a45b39447f702551 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a25650251c81908a6ea6368cd61198 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.