Triple
T189070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TI-84 Plus |
E3677
|
entity |
| Predicate | displayResolution |
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-84 Plus, displayResolution, 96×64 pixels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displayResolution Context triple: [TI-84 Plus, displayResolution, 96×64 pixels]
-
A.
hasNumberOfScreens
Indicates the quantity of screens associated with or contained in a given entity.
-
B.
monitors
Indicates that one entity observes, tracks, or checks the state, behavior, or performance of another entity over time.
-
C.
aspectRatio
Indicates the proportional relationship between an entity’s width and its height.
-
D.
basedOnResolution
Indicates that something is determined, derived, or decided according to a particular resolution, decision, or formal determination.
-
E.
displayedWith
Indicates that one entity is shown or presented together alongside another entity in the same context or view.
- F. None of above. chosen
Provenance (4 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2594abeec8190a48f36817e647fcd |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a25672332081909386f35f3ca15dd2 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a25738b5108190866fd704fceee18a |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.