Triple
T36904233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motorola C157 |
E912725
|
entity |
| Predicate | hasMonochromeDisplay |
P79884
|
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: [Motorola C157, hasMonochromeDisplay, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonochromeDisplay Context triple: [Motorola C157, hasMonochromeDisplay, yes]
-
A.
supportsMonochromeMonitor
chosen
Indicates that one entity is capable of operating with, driving, or is compatible with a monochrome (single-color) monitor.
-
B.
hasColorDisplay
Indicates that an entity is equipped with a display capable of showing colors rather than only monochrome output.
-
C.
hasDisplayBacklightColor
Indicates that an entity’s display uses a specific backlight color.
-
D.
supportsWideColorGamut
Indicates that one entity provides or enables compatibility with a wide color gamut capability for another entity or context.
-
E.
hasPhysicalDisplays
Indicates that an entity possesses one or more tangible, visible display units or interfaces.
- 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_69f76e879768819085c2fb31a6a5b44b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff7dcedab08190a719a707d03306e2 |
completed | May 9, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69ff7d0119348190ad462554e81190fe |
completed | May 9, 2026, 6:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.