Triple
T2129297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Wallet |
E46499
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object | iPad |
E12499
|
NE 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: iPad | Statement: [Apple Wallet, platform, iPad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: iPad Context triple: [Apple Wallet, platform, iPad]
-
A.
iPad
chosen
The iPad is Apple's line of touchscreen tablet computers that popularized modern tablet computing with its sleek design, intuitive interface, and integration into the broader Apple ecosystem.
-
B.
iPhone
The iPhone is Apple's flagship smartphone line that revolutionized mobile technology by combining a touchscreen interface, internet connectivity, and a robust app ecosystem into a single device.
-
C.
MacBook
MacBook is Apple’s line of macOS-based laptop computers known for their sleek design, high-resolution displays, and tight hardware–software integration.
-
D.
iBook
The iBook was Apple’s line of consumer-oriented, portable Macintosh laptops designed for education and everyday use in the late 1990s and early 2000s.
-
E.
iPad Pro with M1
The iPad Pro with M1 is Apple's high-end tablet line powered by the same M1 chip used in Macs, offering laptop-class performance, advanced graphics, and support for professional workflows and accessories.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb7659f48190871cb27faf47e18a |
completed | March 7, 2026, 5:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6533c7f081909860c89a2a53ad49 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:44 p.m.