Triple
T9897803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surface Go |
E182218
|
entity |
| Predicate | productFamily |
P11218
|
FINISHED |
| Object | Surface Go line |
E182218
|
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 Go line | Statement: [Surface Go, productFamily, Surface Go line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surface Go line Context triple: [Surface Go, productFamily, Surface Go line]
-
A.
Surface Go
chosen
Surface Go is a compact, lightweight 2-in-1 Windows tablet-laptop hybrid designed by Microsoft for portability and everyday productivity.
-
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 Go 4
Surface Go 4 is a compact, entry-level 2-in-1 Windows tablet-laptop from Microsoft’s Surface lineup, designed for portability and everyday productivity.
-
E.
G line
The G line is a New York City Subway service that runs entirely in Brooklyn and Queens, connecting neighborhoods such as Park Slope without entering Manhattan.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4ac27d88190b8255f7e616f95c9 |
completed | April 2, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb17ed548190a2510a667dd988ca |
completed | April 5, 2026, 4:54 a.m. |
Created at: March 30, 2026, 8:40 p.m.