Triple
T1444491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behavioral and Social Research Program |
E31145
|
entity |
| Predicate | usesFundingMechanism |
P59
|
FINISHED |
| Object | research 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: research project grants | Statement: [Behavioral and Social Research Program, usesFundingMechanism, research project grants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFundingMechanism Context triple: [Behavioral and Social Research Program, usesFundingMechanism, research project grants]
-
A.
fundingModel
chosen
Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
-
B.
authorizesFundingFor
Indicates that one entity grants official approval or permission for financial resources to be provided to another entity or purpose.
-
C.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
D.
notFundedBy
Indicates that one entity does not receive financial support, backing, or funding from another entity.
-
E.
hasMonetaryGrant
Indicates that an entity provides or receives a monetary grant from another entity.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55714588190a95b4f677c21cbaa |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.