Triple
T31133869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony α7C |
E793584
|
entity |
| Predicate | phaseDetectionAFPoints |
P88979
|
FINISHED |
| Object | 693 |
—
|
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: 693 | Statement: [Sony α7C, phaseDetectionAFPoints, 693]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: phaseDetectionAFPoints Context triple: [Sony α7C, phaseDetectionAFPoints, 693]
-
A.
afPoints
Indicates a relationship where a scoring or point value is assigned, tracked, or associated with an entity or interaction.
-
B.
phaseIndicatedBy
Indicates that a particular phase or stage is determined, signaled, or specified by a given indicator or reference.
-
C.
timingOfPoints
Indicates the temporal relationship or sequence in which the points or events occur.
-
D.
phaseCount
Indicates the number of distinct phases or stages associated with a given process, event, or entity.
-
E.
autofocusPoints
chosen
Indicates the relationship between a camera (or imaging device) and the specific focus points it can automatically select or use for focusing.
- 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 9:05 p.m.