Triple
T1934233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xperia |
E41408
|
entity |
| Predicate | hasNotableModel |
P1503
|
FINISHED |
| Object | Xperia 10 III |
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 10 III | Statement: [Xperia, hasNotableModel, Xperia 10 III]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xperia 10 III Context triple: [Xperia, hasNotableModel, Xperia 10 III]
-
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 3a
The Pixel 3a is a mid-range Android smartphone by Google known for delivering flagship-level camera performance at a lower price point.
-
C.
Pixel 5a
The Pixel 5a is a mid-range Android smartphone by Google known for its clean software experience, strong camera performance, and long battery life.
-
D.
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.
-
E.
Pixel 4a
The Pixel 4a is a mid-range Android smartphone by Google known for its excellent camera, clean software experience, and compact, budget-friendly design.
- 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_69ae892f5bac8190b1033a1eacfab7ef |
completed | March 9, 2026, 8:47 a.m. |
Created at: March 4, 2026, 7:35 p.m.