Triple
T16787779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCLEX-RN |
E408023
|
entity |
| Predicate | subContentArea |
P111186
|
FINISHED |
| Object | basic care and comfort |
—
|
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: basic care and comfort | Statement: [NCLEX-RN, subContentArea, basic care and comfort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subContentArea Context triple: [NCLEX-RN, subContentArea, basic care and comfort]
-
A.
subArea
chosen
Indicates that one area is a constituent or contained part of a larger area.
-
B.
subBody
Indicates that one entity is a physical or conceptual sub-component or subsection of another entity’s body.
-
C.
primaryContentRegion
Indicates the main area or section where the most important or central content is located or presented.
-
D.
subtheme
Indicates that one topic or concept functions as a more specific, subordinate theme within a broader overarching theme.
-
E.
secondaryContentType
Indicates the type or category of additional, non-primary content associated with an entity or resource.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b21b6a408190b0766138cc9a9ee2 |
completed | April 18, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69e319cf691c819083e39225f5777ef0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:22 a.m.