Triple
T25725878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slater-type orbital basis set |
E645113
|
entity |
| Predicate | hasNormalization |
P48405
|
FINISHED |
| Object | N chosen to satisfy orbital normalization condition |
—
|
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: N chosen to satisfy orbital normalization condition | Statement: [Slater-type orbital basis set, hasNormalization, N chosen to satisfy orbital normalization condition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNormalization Context triple: [Slater-type orbital basis set, hasNormalization, N chosen to satisfy orbital normalization condition]
-
A.
haveNormalization
Indicates that one entity serves as a normalization or standardized form of another entity.
-
B.
usesNormalization
chosen
Indicates that one entity applies or relies on a normalization process or technique in relation to another entity or data.
-
C.
hasNorm
Indicates that an entity is associated with, governed by, or characterized through a particular norm, rule, or standard.
-
D.
isNormalizableFor
Indicates that one entity can be transformed or converted into a standard or canonical form suitable for a particular process or context with respect to another entity.
-
E.
normalizationType
Indicates the specific method or scheme used to normalize or standardize data, values, or representations within a given context.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 21, 2026, 10:28 p.m.