Triple
T459513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Institute of Biomedical Imaging and Bioengineering |
E7305
|
entity |
| Predicate | typeOfFunding |
P59
|
FINISHED |
| Object | extramural research 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: extramural research grants | Statement: [National Institute of Biomedical Imaging and Bioengineering, typeOfFunding, extramural research grants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfFunding Context triple: [National Institute of Biomedical Imaging and Bioengineering, typeOfFunding, extramural research grants]
-
A.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
B.
fundingModel
chosen
Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
-
C.
grantmakingType
Indicates the specific category or method by which grants are awarded or administered in a grantmaking relationship.
-
D.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given context.
-
E.
funds
Indicates that one entity provides financial resources or monetary support to another entity or activity.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efa4a6208190a8243a0e14f84f52 |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede75b6c81908350103d21f22a03 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.