Triple
T6681005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Stewart Mott Foundation |
E151977
|
entity |
| Predicate | grantMakingType |
P12398
|
FINISHED |
| Object | grantmaking foundation |
—
|
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: grantmaking foundation | Statement: [Charles Stewart Mott Foundation, grantMakingType, grantmaking foundation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantMakingType Context triple: [Charles Stewart Mott Foundation, grantMakingType, grantmaking foundation]
-
A.
hasGrantmakingType
Indicates the specific category or mode of grantmaking associated with an entity, such as how it provides or administers grants.
-
B.
grantUse
Indicates that one entity gives another entity permission or authorization to use something.
-
C.
grantedBy
Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
-
D.
believedToGrant
Indicates that something is thought or assumed to provide, confer, or bestow a particular benefit, quality, or effect.
-
E.
grantmakingType
chosen
Indicates the specific category or method by which grants are awarded or administered in a grantmaking 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c0aa8c5c8190a302b261f11b70cb |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0b6d00819086205b8ce30dd045 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:04 p.m.