Triple
T31150138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikon D6 |
E794049
|
entity |
| Predicate | viewfinderCoverage |
P171195
|
FINISHED |
| Object | 100% |
—
|
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: 100% | Statement: [Nikon D6, viewfinderCoverage, 100%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewfinderCoverage Context triple: [Nikon D6, viewfinderCoverage, 100%]
-
A.
viewfinderResolution
Indicates the resolution or level of detail provided by a device’s viewfinder display.
-
B.
viewfinderType
Indicates the type or kind of viewfinder associated with or used by an entity.
-
C.
viewfinderMagnification
Indicates the degree to which the viewfinder enlarges the scene relative to the naked eye.
-
D.
screenCoverage
Indicates the extent to which one entity visually occupies or covers the display area of another (e.g., how much of a screen is taken up by a given element).
-
E.
sensorCoverage
Indicates that a sensor’s detection or monitoring area spatially covers or includes a given region, object, or point.
- 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_69f224d41bb48190a5621cd1485e3a30 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c6f01e881908fa84f5d429d37ae |
completed | May 3, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f69c2127088190ae92c72461576d3b |
completed | May 3, 2026, 12:51 a.m. |
Created at: April 29, 2026, 9:06 p.m.