Triple
T10502858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FreeStyle Libre |
E247712
|
entity |
| Predicate | measurementFrequency |
P94528
|
FINISHED |
| Object | continuous glucose measurement |
—
|
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: continuous glucose measurement | Statement: [FreeStyle Libre, measurementFrequency, continuous glucose measurement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measurementFrequency Context triple: [FreeStyle Libre, measurementFrequency, continuous glucose measurement]
-
A.
inspectionFrequency
Indicates how often an entity is examined, checked, or reviewed within a given time period.
-
B.
serviceFrequencyType
Indicates how often a service occurs or is scheduled within a given time period.
-
C.
performedFrequency
Indicates how often an action or activity is carried out within a given time period.
-
D.
meetingFrequency
Indicates how often a meeting or recurring gathering takes place over a given period.
-
E.
serviceFrequencyContext
Indicates the contextual conditions or circumstances under which a service’s frequency is defined, applied, or interpreted.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5099c6a848190bf1d5361e9e61108 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8e24ac8190912c9f11b8bd3084 |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe46a6448190b061bc3545835cad |
completed | April 7, 2026, 12:53 p.m. |
Created at: April 6, 2026, 12:25 p.m.