Triple
T7980359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surface Dock |
E185554
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | Surface Book |
E41593
|
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 Book | Statement: [Surface Dock, compatibleWith, Surface Book]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surface Book Context triple: [Surface Dock, compatibleWith, Surface Book]
-
A.
Surface Book
chosen
Surface Book is a high-end 2-in-1 laptop from Microsoft featuring a detachable touchscreen display that can function as a tablet.
-
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 Laptop
Surface Laptop is a premium line of thin, lightweight Windows ultrabooks designed and produced by Microsoft under its Surface brand.
-
D.
Surface Studio
Surface Studio is an all-in-one desktop computer by Microsoft known for its large, high-resolution touchscreen and flexible hinge designed for creative professionals.
-
E.
MateBook series
The MateBook series is Huawei’s line of Windows-based laptop computers known for slim designs, high-resolution displays, and integration with the company’s mobile ecosystem.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c274ce48190854d389d43ce14b8 |
completed | March 31, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc938ffbb481908c4540e560469777 |
completed | April 1, 2026, 3:40 a.m. |
Created at: March 30, 2026, 5:14 p.m.