Triple
T20523507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mittag-Leffler function |
E503871
|
entity |
| Predicate | threeParameterNotation |
P62307
|
FINISHED |
| Object | E_{α,β}^{γ}(z) |
—
|
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: E_{α,β}^{γ}(z) | Statement: [Mittag-Leffler function, threeParameterNotation, E_{α,β}^{γ}(z)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threeParameterNotation
Context triple: [Mittag-Leffler function, threeParameterNotation, E_{α,β}^{γ}(z)]
-
A.
parametrizes
Indicates that one entity defines or controls the variable parameters that determine the behavior, form, or configuration of another entity.
-
B.
thirdElement
chosen
Indicates that one entity is the third element in an ordered sequence or tuple associated with another entity.
-
C.
usesPositionalNotation
Indicates that one entity represents numbers using a positional numeral system, where a digit’s value depends on its position.
-
D.
offsetNotation
Indicates that one representation specifies how far and in what way another representation is shifted or displaced from a reference point or baseline.
-
E.
thirdSyllable
Indicates that one entity is the third syllable within, or corresponding to, another entity (such as a word or phrase).
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f471f18819091e8a57161fe0225 |
completed | April 20, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:36 a.m.