Triple
T27583553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DDS |
E699637
|
entity |
| Predicate | architectureLayer |
P4621
|
FINISHED |
| Object | data-centric middleware |
—
|
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: data-centric middleware | Statement: [DDS, architectureLayer, data-centric middleware]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architectureLayer Context triple: [DDS, architectureLayer, data-centric middleware]
-
A.
architectureLevel
Indicates the relative layer or tier an entity occupies within an architectural structure or system design.
-
B.
frameworkLayer
Indicates a relationship where one framework is organized within, built upon, or conceptually assigned to a particular architectural or conceptual layer.
-
C.
architecture
chosen
Indicates the structural design or organizational framework that defines how components of a system or entity are arranged and interact.
-
D.
exampleArchitecture
Indicates that one entity serves as a representative or illustrative instance of the architectural style, structure, or design of another entity.
-
E.
architectureName
Indicates the specific name or title assigned to an architecture.
- 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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 2:03 p.m.