Triple
T25726087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VASP |
E645118
|
entity |
| Predicate | supportsSimulationType |
P24486
|
FINISHED |
| Object | electronic structure calculations |
—
|
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: electronic structure calculations | Statement: [VASP, supportsSimulationType, electronic structure calculations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSimulationType Context triple: [VASP, supportsSimulationType, electronic structure calculations]
-
A.
hasSimulator
Indicates that one entity provides or is associated with a simulator used to model, emulate, or test the behavior of another entity.
-
B.
supportsTestType
Indicates that one entity is capable of handling, executing, or being compatible with a specified type of test.
-
C.
supportsSIMInstruction
Indicates that one entity is capable of handling or executing a specified SIM (Subscriber Identity Module) instruction for another entity.
-
D.
supportsType
chosen
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
E.
supportsProgramType
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 21, 2026, 11:04 p.m.