Triple
T12480226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watch GT series |
E298283
|
entity |
| Predicate | healthFeature |
P33305
|
FINISHED |
| Object | SpO2 blood oxygen monitoring (on 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: SpO2 blood oxygen monitoring (on many models) | Statement: [Watch GT series, healthFeature, SpO2 blood oxygen monitoring (on many models)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healthFeature Context triple: [Watch GT series, healthFeature, SpO2 blood oxygen monitoring (on many models)]
-
A.
healthIndicator
chosen
Indicates a measure or signal that reflects the health status or condition of an entity.
-
B.
featuresDisease
Indicates that an entity exhibits, presents, or is characterized by a particular disease.
-
C.
healthEffect
Indicates the impact or consequence that one entity has on the health or well-being of another.
-
D.
healthProxy
Indicates that one entity is authorized to make health-related or medical decisions on behalf of another entity.
-
E.
healthRationale
Indicates the reasoning or justification behind an assessment, decision, or action related to health.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e626dbc8190ac7dcdb542ba9b0c |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d3f701c81909dd0e00251ac8553 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.