Triple
T421882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wistar Institute |
E8119
|
entity |
| Predicate | nonprofitType |
P13548
|
FINISHED |
| Object | biomedical research nonprofit |
—
|
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: biomedical research nonprofit | Statement: [Wistar Institute, nonprofitType, biomedical research nonprofit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonprofitType Context triple: [Wistar Institute, nonprofitType, biomedical research nonprofit]
-
A.
nonprofitStatus
Indicates that an entity operates as a nonprofit organization, typically meeting legal or regulatory criteria for nonprofit status.
-
B.
grantmakingType
Indicates the specific category or method by which grants are awarded or administered in a grantmaking relationship.
-
C.
genreOfPhilanthropy
Indicates the specific type or category of philanthropic activity to which an act, initiative, or organization belongs.
-
D.
fieldOfPhilanthropy
Indicates that an entity is engaged in or associated with a particular area or domain of philanthropic activity.
-
E.
associatedCharity
Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eec0e9dc81908c08b209ce5278ef |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edd5439c8190aea661b8b4aa51e9 |
completed | Feb. 28, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69a2ee8b56d08190bd625626353d01b4 |
completed | Feb. 28, 2026, 1:32 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.