Triple
T9502557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony α1 |
E229179
|
entity |
| Predicate | flashSyncSpeedElectronic |
P88986
|
FINISHED |
| Object | 1/200 s |
—
|
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: 1/200 s | Statement: [Sony α1, flashSyncSpeedElectronic, 1/200 s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flashSyncSpeedElectronic Context triple: [Sony α1, flashSyncSpeedElectronic, 1/200 s]
-
A.
exposureTime
Indicates the duration for which a subject or object is exposed to a particular condition, influence, or medium.
-
B.
hasOpticalImageStabilization
Indicates that a device or component includes a feature that reduces image blur caused by camera movement during capture.
-
C.
supportsBurstMode
Indicates that an entity is capable of operating in a burst mode, handling short periods of intensified or rapid activity beyond its normal continuous capacity.
-
D.
preShutterCaptureSeconds
Indicates the amount of time, in seconds, that elapses before the shutter is triggered to capture an image.
-
E.
exposureModes
Indicates the different ways or conditions under which an entity can be exposed to another entity, factor, or influence.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983ea6048190a2d7924c8e6d1fbc |
completed | April 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cca5651a588190a3cfebe249a223e5 |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca8c6b0f081908334d6c7cf80e03c |
completed | April 1, 2026, 5:10 a.m. |
Created at: March 30, 2026, 7:57 p.m.