Triple
T31008783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony α7S II |
E790149
|
entity |
| Predicate | lowLightPerformance |
P169136
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Sony α7S II, lowLightPerformance, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowLightPerformance Context triple: [Sony α7S II, lowLightPerformance, high]
-
A.
lowLightPhotographyPerformance
chosen
Indicates how well a camera or imaging system can capture clear, detailed photos in dim or low-light conditions.
-
B.
sensitivityToLight
Indicates a relationship where an entity reacts adversely or more strongly than normal when exposed to light.
-
C.
lowReCharacteristic
Indicates that the subject has a low characteristic related to electrical resistance (Re), such as low resistance or a low real part of impedance.
-
D.
illuminationCondition
Indicates the lighting or brightness conditions under which an event, observation, or interaction takes place.
-
E.
lightRange
Indicates the distance or area over which a light source effectively emits or illuminates.
- 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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:57 p.m.