Triple
T1934225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xperia |
E41408
|
entity |
| Predicate | hasNotableModel |
P1503
|
FINISHED |
| Object | Xperia XZ Premium |
E41408
|
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: Xperia XZ Premium | Statement: [Xperia, hasNotableModel, Xperia XZ Premium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xperia XZ Premium Context triple: [Xperia, hasNotableModel, Xperia XZ Premium]
-
A.
Xperia
chosen
Xperia is Sony's line of smartphones and tablets known for their sleek design, high-quality displays, and advanced camera technology.
-
B.
Pixel XL
Pixel XL is a larger, high-end Android smartphone in Google's original Pixel lineup, known for its clean software experience and strong camera performance.
-
C.
Moto Z
Moto Z is a line of modular Android smartphones by Motorola known for its ultra-thin design and support for snap-on Moto Mods accessories.
-
D.
Moto X
Moto X is a line of Android smartphones developed by Motorola Mobility, known for its near-stock software experience and emphasis on user customization and voice control features.
-
E.
Pixel 6
The Pixel 6 is a Google-designed Android smartphone known for its custom Tensor chip, advanced computational photography, and clean, AI-focused software experience.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb29b51408190afb2f918814e68c7 |
completed | March 7, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5173b2188190bfb492c73a1bba06 |
completed | March 9, 2026, 4:49 a.m. |
Created at: March 4, 2026, 7:35 p.m.