Triple
T209259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honeywell DDP-516 |
E4677
|
entity |
| Predicate | packaging |
P9900
|
FINISHED |
| Object | cabinet-mounted system |
—
|
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: cabinet-mounted system | Statement: [Honeywell DDP-516, packaging, cabinet-mounted system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: packaging Context triple: [Honeywell DDP-516, packaging, cabinet-mounted system]
-
A.
primaryProduct
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
-
B.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
C.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
D.
patent
Indicates that a legal protection has been granted to an entity for an invention, giving it exclusive rights to make, use, or sell that invention.
-
E.
distribution
Indicates the act or pattern of giving, delivering, or spreading something from one source to multiple recipients or locations.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25e8b9b908190b69a3f0594b95f7e |
completed | Feb. 28, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69a25b4e3c2881908d83e8218aa9f2d9 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25e8ade9481908d5570f6a255ee50 |
completed | Feb. 28, 2026, 3:18 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.