Triple
T228419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TI-83 Plus |
E4359
|
entity |
| Predicate | hasDisplayResolution |
P5732
|
FINISHED |
| Object | 96×64 pixels |
—
|
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: 96×64 pixels | Statement: [TI-83 Plus, hasDisplayResolution, 96×64 pixels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDisplayResolution Context triple: [TI-83 Plus, hasDisplayResolution, 96×64 pixels]
-
A.
displayResolution
chosen
Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
-
B.
hasNumberOfScreens
Indicates the quantity of screens associated with or contained in a given entity.
-
C.
hasDisplayType
Indicates the type or category of display associated with an entity, such as the format, mode, or presentation style used to show its content.
-
D.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
-
E.
hasLandscapeType
Indicates that an entity possesses or is characterized by a particular type or category of landscape.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d10ac248190a98dedabf5358668 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b5877588190af694d060377f027 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.