Triple
T24805904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vandermonde matrix |
E620657
|
entity |
| Predicate | hasRowForm |
P169
|
FINISHED |
| Object | (1, x_i, x_i^2, …, x_i^{n-1}) for given scalars x_i |
—
|
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: (1, x_i, x_i^2, …, x_i^{n-1}) for given scalars x_i | Statement: [Vandermonde matrix, hasRowForm, (1, x_i, x_i^2, …, x_i^{n-1}) for given scalars x_i]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRowForm
Context triple: [Vandermonde matrix, hasRowForm, (1, x_i, x_i^2, …, x_i^{n-1}) for given scalars x_i]
-
A.
hasRow
Indicates that one entity contains, includes, or is associated with a specific row within a structured arrangement such as a table, grid, or dataset.
-
B.
hasForm
chosen
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
C.
hasFormFor
Indicates that one entity possesses or provides a specific form or document intended to be used by another entity or for a particular purpose.
-
D.
hasListForm
Indicates that something is represented or expressed in the form of a list.
-
E.
hasSetForm
Indicates that something possesses or is associated with a specific, defined form or configuration as part of a set.
- 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_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 4:50 a.m.