Triple
T30644068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony α7 III |
E780071
|
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 α7 III, frontEndLSI, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontEndLSI Context triple: [Sony α7 III, frontEndLSI, Yes]
-
A.
frontEnd
Indicates that one entity serves as the user-facing or client-side component in relation to another system or application.
-
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.
frontMatterOftenContains
Indicates that the front matter section typically includes or holds the specified content or elements.
-
D.
clientSideLanguage
Indicates that a particular programming or scripting language is executed on the client side (typically in the user's browser) rather than on the server.
-
E.
hasFrontend
Indicates that one entity serves as the user-facing interface or presentation layer for another entity.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69dfbf6ac8190ba2e6fc0adfd8b73 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 29, 2026, 8:29 p.m.