Triple
T5707163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John S. and James L. Knight Foundation |
E125811
|
entity |
| Predicate | hasGrantmakingType |
P65701
|
FINISHED |
| Object | project grants |
—
|
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: project grants | Statement: [John S. and James L. Knight Foundation, hasGrantmakingType, project grants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGrantmakingType Context triple: [John S. and James L. Knight Foundation, hasGrantmakingType, project grants]
-
A.
believedToGrant
Indicates that something is thought or assumed to provide, confer, or bestow a particular benefit, quality, or effect.
-
B.
hasPublicAuthorityType
Indicates that an entity possesses a specific type or category of public authority status or role.
-
C.
hasMonetaryGrant
Indicates that an entity provides or receives a monetary grant from another entity.
-
D.
grantedBy
Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
-
E.
hasAwardedEntityType
Indicates that a particular type or category of entity is the recipient of an award or recognition.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024892fd88190a91133fc88365410 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c023dfec6881909ee6189b874b4348 |
completed | March 22, 2026, 5:16 p.m. |
Created at: March 22, 2026, 3:45 p.m.