Triple
T23142527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | graph Laplacian |
E577498
|
entity |
| Predicate | secondSmallestEigenvalueName |
P151076
|
FINISHED |
| Object | algebraic connectivity |
—
|
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: algebraic connectivity | Statement: [graph Laplacian, secondSmallestEigenvalueName, algebraic connectivity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondSmallestEigenvalueName Context triple: [graph Laplacian, secondSmallestEigenvalueName, algebraic connectivity]
-
A.
isSecondLargest
Indicates that one entity has a value or size that is greater than all others except for a single larger entity, making it the second largest in the compared set.
-
B.
secondElement
Indicates that one entity is the second element in an ordered pair, sequence, or collection relative to another entity.
-
C.
secondSymbolValue
Indicates that the value or quantity associated with the second symbol in a pair or sequence is being specified or referenced.
-
D.
secondLevelName
Indicates that one entity specifies the secondary or subordinate name associated with another entity, typically within a hierarchical naming structure.
-
E.
minimalNorm
Indicates that among a set of possible values or solutions, this one has the smallest norm (magnitude) according to a specified norm measure.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecb72fc8190a24e8f5756217a36 |
completed | April 29, 2026, 4:53 a.m. |
| PD | Predicate disambiguation | batch_69ef89f83b108190aaaa1db6221fc163 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4 p.m.