Triple
T497195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone |
E10318
|
entity |
| Predicate | hasSeries |
P1761
|
FINISHED |
| Object | iPhone 11 |
E10318
|
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: iPhone 11 | Statement: [iPhone, hasSeries, iPhone 11]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: iPhone 11 Context triple: [iPhone, hasSeries, iPhone 11]
-
A.
iPhone
chosen
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.
-
B.
AirPods
AirPods are Apple’s wireless Bluetooth earbuds known for their seamless integration with Apple devices, compact charging case, and touch or voice-controlled features.
-
C.
Apple A17 Pro
Apple A17 Pro is a high-performance 3 nm mobile system-on-a-chip designed by Apple for advanced iPhone models, featuring improved CPU, GPU, and AI processing capabilities.
-
D.
Liquid Retina XDR
Liquid Retina XDR is Apple’s high‑end mini‑LED display technology that delivers very high brightness, contrast, and color accuracy for professional-grade visual work.
-
E.
iOS
iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f116f1b4819082f88d6c747368ae |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4a426771c8190a5d1dc6a80a9c1d2 |
completed | March 1, 2026, 8:40 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.