Triple
T18720709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fu Foundation |
E457765
|
entity |
| Predicate | endowmentUsedFor |
P43493
|
FINISHED |
| Object | scholarships |
—
|
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: scholarships | Statement: [Fu Foundation, endowmentUsedFor, scholarships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endowmentUsedFor Context triple: [Fu Foundation, endowmentUsedFor, scholarships]
-
A.
endowment
Indicates that a resource, asset, or benefit is provided or allocated to an entity, typically as a lasting or dedicated funding source.
-
B.
endowmentAmount
Indicates the specific monetary value or quantity provided as an endowment in the relationship.
-
C.
endowmentCurrency
Indicates the type of currency in which an endowment is denominated or valued.
-
D.
usedFund
Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
-
E.
hasOriginalEndowmentPurpose
chosen
Indicates that an entity’s original endowment is intended or designated to serve a specific purpose or function.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab9e0dc8190bf579d7e89e941f4 |
completed | April 19, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69e478e0889c8190a118d67b200ce8ef |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:50 a.m.