Triple

T25968729

Position	Surface form	Disambiguated ID	Type / Status
Subject	NIH Transformative Research Award	`E645746`	entity
Predicate	applicationMechanism	`P66544`	FINISHED
Object	R01 R01 is the National Institutes of Health’s standard investigator-initiated research project grant mechanism used to support discrete, specified health-related research studies.	`E1704752`	NE FINISHED

How this triple was built (3 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: R01 | Statement: [NIH Transformative Research Award, applicationMechanism, R01]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: R01
Triple: [NIH Transformative Research Award, applicationMechanism, R01]

Generated description

R01 is the National Institutes of Health’s standard investigator-initiated research project grant mechanism used to support discrete, specified health-related research studies.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: applicationMechanism
Context triple: [NIH Transformative Research Award, applicationMechanism, R01]

A. applicationTool
Indicates that one entity is a tool or instrument used to apply, operate, or carry out the function of another entity.
B. interactionMechanism chosen
Indicates the process or means by which one entity affects, influences, or interacts with another.
C. applicationRequirement
Indicates that one entity specifies a condition or prerequisite that must be met for the use, approval, or execution of another entity or process.
D. applicationInterface
Indicates that one entity serves as an interface or interaction layer through which another entity accesses or uses an application’s functionality.
E. applicationRange
Indicates the scope or extent within which something (such as a rule, function, or process) is validly applied or operates.
F. None of above.

Provenance (6 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_69e77e8768648190b27bb578f14bcb88`	completed	April 21, 2026, 1:41 p.m.
NER	Named-entity recognition	`batch_69f6aaf50be08190a2b62a6d881f8aee`	completed	May 3, 2026, 1:55 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a11078548a08190a79fd04637c73d06`	completed	May 23, 2026, 1:48 a.m.
NEDg	Description generation	`batch_6a1109a47700819082eab631a465c838`	completed	May 23, 2026, 1:57 a.m.
NED2	Entity disambiguation (via description)	`batch_6a110a3dc68481909769d05e2c2535bd`	completed	May 23, 2026, 2 a.m.
PD	Predicate disambiguation	`batch_69f6aa1c555081908787dbf76147f180`	completed	May 3, 2026, 1:51 a.m.

Created at: April 22, 2026, 8:50 a.m.