Triple
T209257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honeywell DDP-516 |
E4677
|
entity |
| Predicate | hardwareRole |
P9899
|
FINISHED |
| Object | Interface Message Processor platform |
—
|
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: Interface Message Processor platform | Statement: [Honeywell DDP-516, hardwareRole, Interface Message Processor platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hardwareRole Context triple: [Honeywell DDP-516, hardwareRole, Interface Message Processor platform]
-
A.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
-
B.
worksFor
Indicates that one entity is employed by or performs work on behalf of another entity, typically an organization or individual.
-
C.
partOfSystem
Indicates that one entity functions as a component or subsystem within the structure or organization of another entity.
-
D.
isMechanicalOrElectronic
Indicates that something operates using mechanical components, electronic components, or a combination of both.
-
E.
chiefEngineer
Indicates that one entity serves as the primary or lead engineer responsible for overseeing engineering activities 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_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.