Triple
T641429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixel 7 |
E16746
|
entity |
| Predicate | bluetoothVersion |
P10653
|
FINISHED |
| Object | Bluetooth 5.2 |
—
|
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: Bluetooth 5.2 | Statement: [Pixel 7, bluetoothVersion, Bluetooth 5.2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bluetoothVersion Context triple: [Pixel 7, bluetoothVersion, Bluetooth 5.2]
-
A.
wirelessSupportIntroduced
Indicates that support for wireless functionality was added or became available for the first time.
-
B.
protocolVersion
chosen
Indicates the specific version of a protocol that governs how two or more entities communicate or interact.
-
C.
deviceIndicates
Indicates that a device provides a signal, status, or output that conveys information about a condition, event, or state.
-
D.
hasVersionNumber
Indicates that an entity is associated with a specific version identifier or number.
-
E.
modelNumber
Indicates that one entity is the specific model identifier or code assigned to another entity (such as a product 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f02bc2c8190b8a92b2505768c19 |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0830008190a26ee158ed4dd1fe |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.