Triple
T2176229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SINTRAN |
E48533
|
entity |
| Predicate | computingModel |
P37649
|
FINISHED |
| Object | centralized computing |
—
|
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: centralized computing | Statement: [SINTRAN, computingModel, centralized computing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: computingModel Context triple: [SINTRAN, computingModel, centralized computing]
-
A.
computes
Indicates that one entity performs a calculation or processing operation to produce a result from given data or inputs.
-
B.
acceleratorType
Indicates the kind or category of accelerator associated with or used by an entity.
-
C.
hardwareUsed
Indicates that a particular piece of hardware is utilized or employed in performing an action, process, or function involving another entity.
-
D.
cpuModel
Indicates the specific processor model associated with a given computing device or system.
-
E.
computationalClass
Indicates that two entities share the same computational complexity class or that one entity is categorized within a specified computational complexity class.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc4358fc88190a6f556c2de9fef8c |
completed | March 7, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69abbda0ec948190be88c1243d81a423 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abc434978c8190b9c4dd8411b87f23 |
completed | March 7, 2026, 6:22 a.m. |
Created at: March 4, 2026, 7:45 p.m.