Triple
T1934392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony Alpha |
E41411
|
entity |
| Predicate | sensorType |
P17204
|
FINISHED |
| Object | full-frame CMOS sensor |
—
|
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: full-frame CMOS sensor | Statement: [Sony Alpha, sensorType, full-frame CMOS sensor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sensorType Context triple: [Sony Alpha, sensorType, full-frame CMOS sensor]
-
A.
detectorType
Indicates the specific kind or category of detector associated with an entity or measurement.
-
B.
hasSensor
chosen
Indicates that one entity is equipped with, contains, or uses a particular sensor.
-
C.
sightType
Indicates the specific kind or category of sight or visual perception associated with an entity or event.
-
D.
scanType
Indicates the specific kind or category of scanning operation performed or required in a given context.
-
E.
captureType
Indicates the manner or method by which something is captured, recorded, or acquired in the context of the relationship.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb29b51408190afb2f918814e68c7 |
completed | March 7, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.