Triple
T1272958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Institute of Nursing Research |
E15749
|
entity |
| Predicate | typeOfResearch |
P24329
|
FINISHED |
| Object | patient-centered research |
—
|
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: patient-centered research | Statement: [National Institute of Nursing Research, typeOfResearch, patient-centered research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfResearch Context triple: [National Institute of Nursing Research, typeOfResearch, patient-centered research]
-
A.
researchSupportType
Indicates the specific kind of support provided for research activities, such as funding, resources, or services.
-
B.
researchTopic
chosen
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
C.
researchClassification
Indicates that an entity is assigned a specific category or type within a research-related classification scheme.
-
D.
researchContext
Indicates the situational, methodological, or thematic setting within which a particular piece of research is conducted or interpreted.
-
E.
typeOfInvestigation
Indicates the specific kind or category of investigation being conducted or referred to in the relationship.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c31602b8819087a57e8d390cae7a |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4bee0be808190a8ccac6a41851fdd |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.