Triple
T35973074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Square Kilometre Array project |
E1040338
|
entity |
| Predicate | computingRequirement |
P137098
|
FINISHED |
| Object | exascale-class computing resources |
—
|
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: exascale-class computing resources | Statement: [Square Kilometre Array project, computingRequirement, exascale-class computing resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: computingRequirement Context triple: [Square Kilometre Array project, computingRequirement, exascale-class computing resources]
-
A.
computabilityRequirement
Indicates that something must be capable of being computed or effectively carried out by an algorithm or computational process.
-
B.
computingModel
Indicates the computational framework, paradigm, or formal system used to perform or describe a computation.
-
C.
computingResourceType
chosen
Indicates the specific kind or category of computing resource involved in the relationship or action.
-
D.
componentRequirement
Indicates that one component depends on or necessitates the presence or use of another component to function or be considered complete.
-
E.
computes
Indicates that one entity performs a calculation or processing operation to produce a result from given data or inputs.
- 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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.