Triple
T264530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Surface |
E5695
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | Surface Laptop 2 |
E38808
|
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 Laptop 2 | Statement: [Microsoft Surface, hasModel, Surface Laptop 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surface Laptop 2 Context triple: [Microsoft Surface, hasModel, Surface Laptop 2]
-
A.
Surface Laptop
chosen
Surface Laptop is a premium line of thin, lightweight Windows ultrabooks designed and produced by Microsoft under its Surface brand.
-
B.
Surface Pro
Surface Pro is Microsoft's line of 2-in-1 detachable tablet-laptop devices running Windows, known for combining touchscreen portability with full PC functionality.
-
C.
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.
-
D.
Surface RT
Surface RT is Microsoft's first-generation ARM-based tablet running the Windows RT operating system, designed primarily for lightweight productivity and media consumption.
-
E.
Chromebook
Chromebook is a line of lightweight laptops that run Google's ChromeOS, designed primarily for web-based computing and cloud-centric use.
- 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_69a25d8e809881908a58c9a4e3ba07c3 |
completed | Feb. 28, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b07024a4819082cfc9a897b84206 |
completed | March 1, 2026, 3:20 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.