Triple
T9000484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony Alpha A-mount DSLR-style cameras |
E215026
|
entity |
| Predicate | viewfinderPosition |
P43677
|
FINISHED |
| Object | central pentaprism-style hump |
—
|
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: central pentaprism-style hump | Statement: [Sony Alpha A-mount DSLR-style cameras, viewfinderPosition, central pentaprism-style hump]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewfinderPosition Context triple: [Sony Alpha A-mount DSLR-style cameras, viewfinderPosition, central pentaprism-style hump]
-
A.
focusPosition
Indicates the spatial or logical position at which attention, concentration, or processing is currently directed within a given context.
-
B.
viewOnCanon
Indicates that one entity expresses or embodies a particular stance, interpretation, or judgment about what is considered canonical within a given context.
-
C.
locationOfVision
Indicates the place or setting where a vision or visual experience occurs or is perceived.
-
D.
viewGeometry
Indicates a relationship where a particular viewpoint or camera setup defines how a scene’s geometry is projected, framed, or visually represented.
-
E.
cameraConfiguration
chosen
Indicates the specific setup or arrangement of a camera’s parameters or components in a given context.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6954bb1881908d004a26ba7fe360 |
completed | April 1, 2026, 12:39 a.m. |
| PD | Predicate disambiguation | batch_69cc5edd6cb48190b4fc6d6ca0418056 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:05 p.m.