Triple
T28582889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zephyr |
E723423
|
entity |
| Predicate | supportsBluetoothLowEnergy |
P39529
|
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: [Zephyr, supportsBluetoothLowEnergy, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsBluetoothLowEnergy Context triple: [Zephyr, supportsBluetoothLowEnergy, true]
-
A.
hasBluetooth
chosen
Indicates that one entity is equipped with or supports Bluetooth connectivity.
-
B.
hasAdvantageOverBluetoothLowEnergy
Indicates that one technology, method, or system possesses benefits or superior characteristics compared to Bluetooth Low Energy.
-
C.
supportsBluetoothCodec
Indicates that one entity is capable of using or is compatible with a specified Bluetooth audio codec in its operation or communication.
-
D.
supportsInfraredConnectivity
Indicates that one entity provides or enables infrared-based communication or data transfer capabilities for another entity.
-
E.
hasHeartRateSensor
Indicates that an entity is equipped with or includes a heart rate sensing capability or device.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a00d08e8fac8190b59359134e6e1c03 |
completed | May 10, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_6a00d0127c088190a6f5b360450af113 |
completed | May 10, 2026, 6:36 p.m. |
Created at: April 28, 2026, 4:16 a.m.