Triple
T20399245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inpatient Quality Reporting Program |
E500287
|
entity |
| Predicate | measureDomains |
P139987
|
FINISHED |
| Object | clinical care |
—
|
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: clinical care | Statement: [Inpatient Quality Reporting Program, measureDomains, clinical care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measureDomains Context triple: [Inpatient Quality Reporting Program, measureDomains, clinical care]
-
A.
measureOf
Indicates that one entity serves as a quantitative or qualitative assessment or metric describing a property, extent, or magnitude of another entity.
-
B.
typicalDomainDimension
Indicates that a dimension is a standard or characteristic measurement typically associated with a given domain or context.
-
C.
measureType
Indicates the specific kind or category of measurement that characterizes how a quantity or value is assessed.
-
D.
coordinateDomain
Indicates that two or more entities share the same coordinate system or spatial reference framework for describing positions.
-
E.
measuredBy
Indicates that something’s quantity, extent, or value is determined or expressed using a particular measurement method, instrument, or unit.
- F. None of above. chosen
Provenance (4 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798cf04481909f183c4c75fe6d52 |
completed | April 20, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:29 a.m.