Triple
T3680569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Galaxy Watch4 |
E78100
|
entity |
| Predicate | sensors |
P17204
|
FINISHED |
| Object | accelerometer |
—
|
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: accelerometer | Statement: [Samsung Galaxy Watch4, sensors, accelerometer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sensors Context triple: [Samsung Galaxy Watch4, sensors, accelerometer]
-
A.
hasSensor
chosen
Indicates that one entity is equipped with, contains, or uses a particular sensor.
-
B.
sensorProvider
Indicates that one entity serves as the source or supplier of sensor data or sensing capabilities for another entity.
-
C.
sensorySystem
Indicates that one entity functions as the sensory system (or part of it) of another, enabling the detection and processing of internal or external stimuli.
-
D.
scientificInstruments
Indicates that one entity is a scientific instrument used by, associated with, or relevant to another entity in the context of scientific measurement or research.
-
E.
publicPerception
Indicates how an individual, group, or entity is viewed, judged, or regarded by the general public or society at large.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc49153ec81909ff3a3df54416d0e |
completed | March 8, 2026, 6:48 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.