Triple
T25063588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurent series |
E627725
|
entity |
| Predicate | regularPart |
P164971
|
FINISHED |
| Object | ∑_{n=0}^{∞} a_n (z - z₀)^n |
—
|
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: ∑_{n=0}^{∞} a_n (z - z₀)^n | Statement: [Laurent series, regularPart, ∑_{n=0}^{∞} a_n (z - z₀)^n]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regularPart
Context triple: [Laurent series, regularPart, ∑_{n=0}^{∞} a_n (z - z₀)^n]
-
A.
regularJockey
Indicates that a person routinely serves as the jockey for a particular horse in races or training.
-
B.
regularCategory
Indicates that a category satisfies the additional structural conditions required to be considered a “regular” category, typically involving stable image factorizations and certain pullback properties.
-
C.
areRegularIn
Indicates that entities participate in or occur within a context, pattern, or structure in a consistent, uniform, and rule-governed manner.
-
D.
principalPart
Indicates that one entity is the primary or most important component, role, or participant within the context defined by the other entity.
-
E.
partOfSingle
Indicates that one entity is a component or member of exactly one specific whole or collection, and not shared among multiple such wholes.
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 18, 2026, 6:10 a.m.