Triple
T10502846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FreeStyle Libre |
E247712
|
entity |
| Predicate | sensorWearDuration |
P13716
|
FINISHED |
| Object | up to 14 days for many models |
—
|
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: up to 14 days for many models | Statement: [FreeStyle Libre, sensorWearDuration, up to 14 days for many models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sensorWearDuration Context triple: [FreeStyle Libre, sensorWearDuration, up to 14 days for many models]
-
A.
durationOfUse
chosen
Indicates the length of time for which something is used or remains in use.
-
B.
wearerDevice
Indicates that a device is worn or carried by a particular entity (the wearer).
-
C.
wearerStatus
Indicates the condition or role of an entity in its capacity as a wearer of something (e.g., clothing, equipment, or an accessory).
-
D.
wearLocation
Indicates the typical body part or location on which an item is worn.
-
E.
wearAuthorizedFor
Indicates that an entity is permitted or authorized to wear a specified item (such as clothing, equipment, or insignia).
- 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_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. |
Created at: April 6, 2026, 12:25 p.m.