Triple
T16853904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AdMob |
E409738
|
entity |
| Predicate | targetUserDevice |
P86660
|
FINISHED |
| Object | smartphones |
—
|
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: smartphones | Statement: [AdMob, targetUserDevice, smartphones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetUserDevice Context triple: [AdMob, targetUserDevice, smartphones]
-
A.
targetedDevice
chosen
Indicates that one entity is the specific device toward which another entity’s action, effect, or configuration is directed.
-
B.
testedDevice
Indicates that one entity has performed a test on, or experimentally evaluated, another entity as a device.
-
C.
testedDeviceType
Indicates that one entity is the type or category of device on which another entity has been tested.
-
D.
targetVendorDevice
Indicates that a device is specifically associated with or designated as the target device for a particular vendor.
-
E.
usesDevice
Indicates that one entity operates, employs, or relies on a particular device to perform an action or achieve a purpose.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37bbb80819086d844a313625cad |
completed | April 18, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.