Triple
T30532318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony FE 24mm f/1.4 GM |
E777037
|
entity |
| Predicate | angleOfViewAPS-C |
P170461
|
FINISHED |
| Object | 61 degrees |
—
|
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: 61 degrees | Statement: [Sony FE 24mm f/1.4 GM, angleOfViewAPS-C, 61 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: angleOfViewAPS-C Context triple: [Sony FE 24mm f/1.4 GM, angleOfViewAPS-C, 61 degrees]
-
A.
angleOfViewAPSC
chosen
Indicates the angle of view produced by a lens when used on an APS-C (crop-sensor) camera format.
-
B.
angleOfViewFullFrame
Indicates the angle of view produced by a lens when used on a full-frame (35mm) sensor or format.
-
C.
equivalentFocalLengthOnAPSC
Indicates the focal length on an APS-C sensor that would provide the same field of view as a given focal length on a full-frame (35mm) sensor.
-
D.
angleOfViewMax
Indicates the maximum angle or field of view within which something can be seen, captured, or effectively observed.
-
E.
angleOfViewMin
Indicates the minimum angle of view that a sensor, camera, or observer can cover or perceive.
- 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_69f2249c11508190ae7e955755ccfb01 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:18 p.m.