Triple
T24822682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delaunay variables |
E621101
|
entity |
| Predicate | isCanonicalWithRespectTo |
P157380
|
FINISHED |
| Object | standard symplectic form |
—
|
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: standard symplectic form | Statement: [Delaunay variables, isCanonicalWithRespectTo, standard symplectic form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCanonicalWithRespectTo Context triple: [Delaunay variables, isCanonicalWithRespectTo, standard symplectic form]
-
A.
isCanonical
Indicates that something represents the standard, authoritative, or officially accepted form within a given context or system.
-
B.
isCanonicalOn
Indicates that something is recognized as the standard or authoritative form of another entity within a given context.
-
C.
isCanonicalFormOf
Indicates that one entity is the standard or officially accepted form or representation of another, often more variant, entity.
-
D.
hasCanonicalRepresentation
Indicates that one entity is the standard or authoritative form in which another entity is represented.
-
E.
isCanonicalMeasureFor
Indicates that one measure is the standard or authoritative representation used to quantify or express another measure or concept.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f42b11251881908070b93355de64ad |
completed | May 1, 2026, 4:24 a.m. |
Created at: April 18, 2026, 5:04 a.m.