Triple
T30811188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony α7R III |
E784649
|
entity |
| Predicate | frontEndLsi |
P171302
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Sony α7R III, frontEndLsi, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontEndLsi Context triple: [Sony α7R III, frontEndLsi, Yes]
-
A.
frontEndLSI
chosen
Indicates a relationship where one entity functions as the front-end component or interface within a larger LSI (Large-Scale Integration) system or architecture.
-
B.
frontEndFor
Indicates that one entity serves as the user-facing interface or access point through which another underlying system, service, or component is used or interacted with.
-
C.
frontEnd
Indicates that one entity serves as the user-facing or client-side component in relation to another system or application.
-
D.
frontTypeOptimisation
Indicates an optimization process or strategy applied to the type or configuration of a front-facing component (such as a front end, front side, or leading part) to improve its performance or effectiveness.
-
E.
frontType
Indicates the type or category of a front (e.g., boundary or leading side) that one entity presents or forms relative to another.
- 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_69f224b4eda48190bd212ce4f3901e56 |
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, 8:43 p.m.