Triple
T38571687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 14 Plus |
E929291
|
entity |
| Predicate | screenSizeCategory |
P139272
|
FINISHED |
| Object | large-screen model |
—
|
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: large-screen model | Statement: [iPhone 14 Plus, screenSizeCategory, large-screen model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenSizeCategory Context triple: [iPhone 14 Plus, screenSizeCategory, large-screen model]
-
A.
screenCapacity
Indicates the maximum number of items or content units that can be displayed on a screen at one time.
-
B.
screenDiameter
Indicates the size of a screen measured across its diagonal.
-
C.
platformSize
Indicates the relative or absolute size or dimensions of a platform in relation to something else.
-
D.
screenCategory
chosen
Indicates the classification or type of screen associated with an entity (e.g., by function, layout, or usage context).
-
E.
hasScreenType
Indicates the specific kind or category of screen associated with or used by an entity.
- 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.