Triple
T30698657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikon Z 7II |
E781548
|
entity |
| Predicate | rearScreenType |
P62733
|
FINISHED |
| Object | tilting touchscreen LCD |
—
|
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: tilting touchscreen LCD | Statement: [Nikon Z 7II, rearScreenType, tilting touchscreen LCD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rearScreenType Context triple: [Nikon Z 7II, rearScreenType, tilting touchscreen LCD]
-
A.
rearCameraType
Indicates the specific kind or configuration of camera system located on the rear side of an object or device.
-
B.
rearIO
Indicates that one entity is located at or associated with the rear (back) input/output side or interface of another entity.
-
C.
hasRearUnitType
Indicates that an entity’s rear section or back part is of a specified type.
-
D.
touchscreenType
chosen
Indicates the specific kind or technology of touchscreen associated with an entity.
-
E.
rearCameraFeature
Indicates that an entity has a specific characteristic, capability, or attribute related to its rear-facing camera.
- F. None of above.
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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68bdceb8c8190b78e499ea2357e0f |
completed | May 2, 2026, 11:42 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:34 p.m.