Triple
T1934214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xperia |
E41408
|
entity |
| Predicate | hasProductLine |
P3585
|
FINISHED |
| Object | Xperia 10 series |
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 series | Statement: [Xperia, hasProductLine, Xperia 10 series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xperia 10 series Context triple: [Xperia, hasProductLine, Xperia 10 series]
-
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 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.
-
C.
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.
-
D.
Sharp X1
The Sharp X1 is a series of 8-bit home computers released by Sharp Corporation in the early 1980s, known for their advanced graphics and sound capabilities in the Japanese market.
-
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_69ae0315bb6c8190aa5571fe631a7310 |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:35 p.m.