Triple
T18221690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rack |
E436321
|
entity |
| Predicate | middlewareModel |
P130298
|
FINISHED |
| Object | stackable middleware components |
—
|
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: stackable middleware components | Statement: [Rack, middlewareModel, stackable middleware components]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: middlewareModel Context triple: [Rack, middlewareModel, stackable middleware components]
-
A.
mainMediator
Indicates that an entity serves as the primary intermediary or facilitator through which interaction, communication, or influence between other entities is conducted.
-
B.
mediatesIn
Indicates that an entity serves as an intermediary or conduit through which an interaction, process, or effect occurs between other entities.
-
C.
concurrentModel
Indicates that two or more processes, activities, or states occur or are valid at the same time, potentially interacting or overlapping in execution.
-
D.
principalModelOf
Indicates that one entity serves as the primary or main model or representation upon which another related entity is based or derived.
-
E.
modeledWith
Indicates that something is represented, simulated, or described using a particular model, method, or modeling technique.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47c85108190bd9707b40bdfdb38 |
completed | April 19, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f684e48190b38c64b58c518b6a |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:32 a.m.