Triple
T26191728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | q-Onsager algebra |
E654981
|
entity |
| Predicate | hasDefiningRelations |
P33476
|
FINISHED |
| Object | q-deformed Dolan–Grady relations |
—
|
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: q-deformed Dolan–Grady relations | Statement: [q-Onsager algebra, hasDefiningRelations, q-deformed Dolan–Grady relations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDefiningRelations Context triple: [q-Onsager algebra, hasDefiningRelations, q-deformed Dolan–Grady relations]
-
A.
hasRelation
chosen
Indicates that there exists some specified relationship or association between two entities.
-
B.
hasPrimitiveRelation
Indicates a basic, direct relationship between entities that is not derived from or dependent on any other relations.
-
C.
hasShapeRelation
Indicates that one entity is related to another through a specific geometric or spatial shape relationship (such as similarity, congruence, or containment of shape).
-
D.
hasRelationSymbol
Indicates that there exists a specific relational operator or symbol used to denote the relationship between entities.
-
E.
hasPhaseRelation
Indicates that two entities are related by a specific phase difference or phase alignment in time or a cyclical process.
- 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_69ee5b469bc081908fe486453fdad810 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 26, 2026, 8:44 p.m.