Triple
T576591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Pixel |
E13770
|
entity |
| Predicate | hasHardwareSeries |
P15691
|
FINISHED |
| Object | Pixel 3a XL |
E77640
|
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: Pixel 3a XL | Statement: [Google Pixel, hasHardwareSeries, Pixel 3a XL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pixel 3a XL Context triple: [Google Pixel, hasHardwareSeries, Pixel 3a XL]
-
A.
Pixel 3a
chosen
The Pixel 3a is a mid-range Android smartphone by Google known for delivering flagship-level camera performance at a lower price point.
-
B.
Google Pixel 3
Google Pixel 3 is a flagship Android smartphone by Google known for its advanced computational photography features and clean software experience.
-
C.
Pixel 2
Pixel 2 is Google's second-generation flagship Android smartphone line, known for its high-quality camera, clean software experience, and integration with Google services.
-
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.
Google Pixel 5
Google Pixel 5 is a 2020 flagship Android smartphone by Google known for its clean software experience, strong camera performance, and integration of advanced computational photography features.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49d2a5f5481908bb9a71ff0f534d4 |
completed | March 1, 2026, 8:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a566fce9808190931b7c88b5c5686f |
completed | March 2, 2026, 10:31 a.m. |
Created at: March 1, 2026, 7:33 p.m.