Triple
T30358537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony FE 200-600mm f/5.6-6.3 G OSS |
E772209
|
entity |
| Predicate | coatings |
P81140
|
FINISHED |
| Object | Sony Nano AR Coating |
—
|
NE NERFINISHED |
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: Sony Nano AR Coating | Statement: [Sony FE 200-600mm f/5.6-6.3 G OSS, coatings, Sony Nano AR Coating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coatings Context triple: [Sony FE 200-600mm f/5.6-6.3 G OSS, coatings, Sony Nano AR Coating]
-
A.
coatingType
chosen
Indicates the type or kind of coating applied to or associated with an entity.
-
B.
coatingFunction
Indicates that one entity serves as a coating or covering layer that provides a specific protective or functional effect to another entity.
-
C.
skeletonCoating
Indicates that one entity serves as a coating, covering, or outer layer on the skeleton of another entity.
-
D.
paints
Indicates that one entity applies paint to create, cover, or decorate another entity.
-
E.
glaze
Indicates that an agent coats or covers a surface of an entity with a smooth, often shiny or protective, layer or substance.
- 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f682417ec08190982dd9acf7219742 |
completed | May 2, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:57 p.m.