Triple
T1834592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surface Laptop Studio |
E41035
|
entity |
| Predicate | hasResolution |
P33931
|
FINISHED |
| Object | 2400 x 1600 |
—
|
LITERAL 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: 2400 x 1600 | Statement: [Surface Laptop Studio, hasResolution, 2400 x 1600]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResolution Context triple: [Surface Laptop Studio, hasResolution, 2400 x 1600]
-
A.
resolvedIn
Indicates that an issue, conflict, or process is brought to a conclusion or solution within a specified context, medium, or timeframe.
-
B.
hasSpatialResolution
Indicates that something is characterized by a specific level of spatial detail or granularity at which it can represent or distinguish features in space.
-
C.
hasProposedResolutionType
Indicates the type or category of resolution that has been formally proposed in relation to an issue, dispute, or decision.
-
D.
basedOnResolution
Indicates that something is determined, derived, or decided according to a particular resolution, decision, or formal determination.
-
E.
resolutionClass
Indicates the category or type of resolution applied to address or conclude a particular issue, conflict, or process.
- F. None of above. chosen
Provenance (4 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafd88ebc81908208394746351fe6 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb32a8d548190a231c7c2ce276a5e |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:33 p.m.