Triple
T36902803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smart Folio (2024) |
E912084
|
entity |
| Predicate | compatibleGeneration |
P194687
|
FINISHED |
| Object | iPad Pro (M4) generation |
—
|
NE NERFINISHED |
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: iPad Pro (M4) generation | Statement: [Smart Folio (2024), compatibleGeneration, iPad Pro (M4) generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compatibleGeneration Context triple: [Smart Folio (2024), compatibleGeneration, iPad Pro (M4) generation]
-
A.
notCompatibleWith
Indicates that two entities cannot function together properly or are unsuitable for joint use or interaction.
-
B.
supportsGeneration
Indicates that one entity enables, facilitates, or is compatible with the creation or production of another entity or outcome.
-
C.
compatibleClient
Indicates that one entity can function correctly and reliably as a client when interacting with another entity, according to defined compatibility criteria.
-
D.
crossCompatibility
Indicates that two entities are able to function, interact, or be used together successfully across different systems, versions, or contexts.
-
E.
compatibleStand
Indicates that one entity can be properly supported or held by another entity’s stand or mounting system.
- 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_69f76e841b54819097e7fa768bbc70b2 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
| PDg | Predicate description generation | batch_69fd7fd9be2881908a7f00e0e8822de8 |
completed | May 8, 2026, 6:16 a.m. |
Created at: May 3, 2026, 4:13 p.m.