Triple
T6800903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagrange interpolation polynomial |
E156183
|
entity |
| Predicate | basisDefinition |
P73078
|
FINISHED |
| Object | L_j(x) = Π_{m≠j} (x - x_m)/(x_j - x_m) |
—
|
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: L_j(x) = Π_{m≠j} (x - x_m)/(x_j - x_m) | Statement: [Lagrange interpolation polynomial, basisDefinition, L_j(x) = Π_{m≠j} (x - x_m)/(x_j - x_m)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basisDefinition
Context triple: [Lagrange interpolation polynomial, basisDefinition, L_j(x) = Π_{m≠j} (x - x_m)/(x_j - x_m)]
-
A.
baselineType
Indicates the type or category of a baseline used as a reference point for comparison or evaluation.
-
B.
baseDefinedBy
Indicates that something’s foundational properties, structure, or interpretation are determined or specified by a particular base or underlying system.
-
C.
basingConcept
Indicates that one concept serves as the foundational basis or underlying rationale for another concept.
-
D.
calculationBasis
Indicates the rule, method, or reference standard used as the foundation for performing a calculation in the relationship.
-
E.
basisOfClassification
Indicates that one entity serves as the criterion or foundation used to classify or categorize another entity.
- 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2e595188190a0bb4b595df3adb2 |
completed | March 27, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69c6d099bf08819089a9f9894d037e74 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d2a8f9188190abbb8c730e7b5edf |
completed | March 27, 2026, 6:55 p.m. |
Created at: March 27, 2026, 2:16 p.m.