Triple
T16110131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Galaxy Watch3 |
E390849
|
entity |
| Predicate | supportsBloodPressureMonitoring |
P121515
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Samsung Galaxy Watch3, supportsBloodPressureMonitoring, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsBloodPressureMonitoring Context triple: [Samsung Galaxy Watch3, supportsBloodPressureMonitoring, true]
-
A.
hasHumanPressure
Indicates that one entity exerts or experiences human-induced influence, stress, or impact in relation to another entity or environment.
-
B.
supportsLongTermMonitoring
Indicates that an entity enables or is compatible with ongoing, long-duration observation, tracking, or data collection over time.
-
C.
supportsRealTimeMonitoring
Indicates that an entity provides the capability to observe and track relevant data or events continuously as they occur in real time.
-
D.
canBeMonitoredWith
Indicates that one entity is suitable or able to be observed, tracked, or supervised using another specified entity or method.
-
E.
heartRate
Indicates the rate at which a heart beats over a given period of time.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2016665c0819081aa7a44b1d08183 |
completed | April 17, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e183b9d3f08190953ada68f4272996 |
completed | April 17, 2026, 12:50 a.m. |
Created at: April 10, 2026, 5 a.m.