Triple
T28612577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Blue |
E724201
|
entity |
| Predicate | associatedDeviceType |
P10596
|
FINISHED |
| Object | smartphone |
—
|
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: smartphone | Statement: [California Blue, associatedDeviceType, smartphone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedDeviceType Context triple: [California Blue, associatedDeviceType, smartphone]
-
A.
relatedDevice
Indicates that one device has an association or connection to another device, without specifying the exact nature of that relationship.
-
B.
connectsDeviceType
chosen
Indicates a relationship where one entity is associated with or linked to a specific type or category of device.
-
C.
targetedDeviceType
Indicates the specific type or category of device that is the intended target of an action, configuration, or content.
-
D.
relatedToDevice
Indicates that there exists a general association or connection between an entity and a device, without specifying the exact nature of that relationship.
-
E.
testedDeviceType
Indicates that one entity is the type or category of device on which another entity has been tested.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a019dfc69fc8190b0d80279a6216ba7 |
completed | May 11, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_6a019d54586c81908292d4880db9fad2 |
completed | May 11, 2026, 9:11 a.m. |
Created at: April 28, 2026, 4:30 a.m.