Triple
T24805986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runge phenomenon |
E620658
|
entity |
| Predicate | typicalNodeDistribution |
P162937
|
FINISHED |
| Object | equally spaced points on [-1,1] |
—
|
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: equally spaced points on [-1,1] | Statement: [Runge phenomenon, typicalNodeDistribution, equally spaced points on [-1,1]]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalNodeDistribution Context triple: [Runge phenomenon, typicalNodeDistribution, equally spaced points on [-1,1]]
-
A.
typicalDegreeDistribution
Indicates that a degree distribution is characteristic or commonly observed for a given type of network or graph.
-
B.
nodeDistribution
chosen
Indicates how elements, resources, or responsibilities are spread or allocated across different nodes in a system.
-
C.
typicalTopology
Indicates the usual or most common network or structural arrangement that characterizes how the related entities are organized or interconnected.
-
D.
distributionPattern
Indicates the characteristic way in which something is spread, arranged, or allocated across a space, group, or set.
-
E.
typicalLinkDistance
Indicates the usual or characteristic distance that typically separates two linked or related entities.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 18, 2026, 4:50 a.m.