Triple
T27562839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legendre polynomials |
E695818
|
entity |
| Predicate | firstPolynomial |
P199285
|
FINISHED |
| Object | P_0(x) = 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: P_0(x) = 1 | Statement: [Legendre polynomials, firstPolynomial, P_0(x) = 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPolynomial Context triple: [Legendre polynomials, firstPolynomial, P_0(x) = 1]
-
A.
secondPolynomial
Indicates that one entity is the second polynomial in a specified ordered set or sequence of polynomials.
-
B.
firstFactor
Indicates that one entity is the first factor (multiplicand) in a multiplication relationship with another entity.
-
C.
firstCoefficientProperty
Indicates a property or characteristic specifically associated with the first coefficient in a mathematical or algebraic expression.
-
D.
firstTerms
Indicates that the related entities are the initial elements or starting terms in a sequence, series, or ordered collection.
-
E.
firstSeries
Indicates that one entity is the initial or earliest series in an ordered sequence of related series.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69ff2d22ffb48190ae58ddf3c7e02869 |
completed | May 9, 2026, 12:48 p.m. |
| PD | Predicate disambiguation | batch_69ff2ac2e1c4819096cc64e94aef2ff0 |
completed | May 9, 2026, 12:38 p.m. |
| PDg | Predicate description generation | batch_69ff2d21f0a48190ad2ef5901cb07d93 |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 27, 2026, 1:40 p.m.