Triple
T25725952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kohn–Sham equations |
E645115
|
entity |
| Predicate | usesPotential |
P158240
|
FINISHED |
| Object | Kohn–Sham effective potential |
—
|
NE NERFINISHED |
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: Kohn–Sham effective potential | Statement: [Kohn–Sham equations, usesPotential, Kohn–Sham effective potential]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPotential Context triple: [Kohn–Sham equations, usesPotential, Kohn–Sham effective potential]
-
A.
potentialUse
chosen
Indicates that one entity could be used for, or is suitable for, a particular function, purpose, or application involving another entity.
-
B.
hasPotential
Indicates that an entity possesses the capacity or possibility to develop, achieve, or exhibit a particular state, quality, or outcome in the future.
-
C.
exportPotential
Indicates the extent to which something is suitable or likely to be successfully exported to other markets or locations.
-
D.
likelyUse
Indicates that one entity is expected or probable to use, employ, or make use of another entity in a given context.
-
E.
possiblyBy
Indicates that an action, creation, or effect may have been caused or produced by a particular entity, but this attribution is uncertain or not definitively established.
- 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_69f603bb02288190b40cedbed5b9651d |
completed | May 2, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 21, 2026, 11:04 p.m.