Triple
T25725879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slater-type orbital basis set |
E645113
|
entity |
| Predicate | hasRadialNodeCount |
P164807
|
FINISHED |
| Object | n-l-1 |
—
|
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-l-1 | Statement: [Slater-type orbital basis set, hasRadialNodeCount, n-l-1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRadialNodeCount Context triple: [Slater-type orbital basis set, hasRadialNodeCount, n-l-1]
-
A.
hasRadialBehavior
Indicates that one entity exhibits behavior or properties that vary or extend outward from a central point relative to another entity or reference frame.
-
B.
hasClusterRadius
Indicates the radius or spatial extent associated with a particular cluster.
-
C.
radialExtent
Indicates the radial distance or range over which something extends outward from a central point or axis.
-
D.
hasRadiusType
Indicates that an entity has a radius characterized by a specific type or classification.
-
E.
hasRadiusRange
Indicates that there is a specified minimum and maximum radius within which the related entity or feature falls.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f650fc44e48190bc0e0a935eac62a6 |
completed | May 2, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f650c466b881908954e43bfebae8a4 |
completed | May 2, 2026, 7:30 p.m. |
Created at: April 21, 2026, 10:28 p.m.