Triple
T264547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Surface |
E5695
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | Surface Duo 2 |
E36535
|
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: Surface Duo 2 | Statement: [Microsoft Surface, hasModel, Surface Duo 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surface Duo 2 Context triple: [Microsoft Surface, hasModel, Surface Duo 2]
-
A.
Surface Duo
chosen
Surface Duo is a dual-screen Android smartphone-tablet hybrid developed by Microsoft as part of its Surface hardware lineup.
-
B.
Surface Go 2
Surface Go 2 is a compact, lightweight 2-in-1 Windows tablet-laptop hybrid from Microsoft’s Surface line, designed for portability and everyday productivity.
-
C.
Surface Go 3
Surface Go 3 is a compact, budget-friendly 2-in-1 Windows tablet-laptop hybrid from Microsoft’s Surface lineup, designed for portability and everyday productivity.
-
D.
Surface Dial
Surface Dial is a Microsoft-designed radial input device that offers precise, context-aware control for creative and productivity tasks, especially when used with Surface computers and displays.
-
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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25d8f9bbc8190a13841e4de093a66 |
completed | Feb. 28, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a399a2991c8190a3f79aa899720a7c |
completed | March 1, 2026, 1:42 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.