Triple
T34703473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Galaxy S9+ |
E1000436
|
entity |
| Predicate | dualSimOption |
P99162
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Samsung Galaxy S9+, dualSimOption, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dualSimOption Context triple: [Samsung Galaxy S9+, dualSimOption, yes]
-
A.
supportsDualSIM
chosen
Indicates that one entity provides or enables the use of two SIM cards simultaneously or interchangeably in another entity.
-
B.
supportsEsim
Indicates that one entity provides compatibility with, or the ability to use, an embedded SIM (eSIM) for another entity.
-
C.
cellularOptions
Indicates that one entity specifies or provides available cellular network or mobile connectivity options for another entity.
-
D.
hasSIMType
Indicates that an entity uses or is associated with a specific type or category of SIM (Subscriber Identity Module).
-
E.
hasSecondaryCamera
Indicates that an entity is equipped with or associated with an additional, non-primary camera.
- 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.