Triple
T26347586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotus SmartPix |
E662816
|
entity |
| Predicate | bundling |
P103837
|
FINISHED |
| Object | not typically sold as a standalone retail product |
—
|
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: not typically sold as a standalone retail product | Statement: [Lotus SmartPix, bundling, not typically sold as a standalone retail product]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bundling Context triple: [Lotus SmartPix, bundling, not typically sold as a standalone retail product]
-
A.
bundle
chosen
Indicates that multiple items are grouped or packaged together as a single combined unit or offering.
-
B.
packaging
Indicates that one entity serves as the container, wrapper, or enclosing material used to package another entity.
-
C.
binding
Indicates that one entity physically or chemically attaches, adheres, or forms a stable association with another entity.
-
D.
cargo
Indicates that one entity is the goods or load being transported, carried, or shipped by another entity.
-
E.
snowpack
Indicates the amount or presence of accumulated snow on the ground or a surface, typically persisting over a period of time.
- 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_69ee8130fc44819094e5ab1da201cd7b |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60fa7f0588190988ce7483ab7523d |
completed | May 2, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:43 p.m.