Triple
T17661246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | affine Lie algebras |
E440255
|
entity |
| Predicate | classificationBasedOn |
P110665
|
FINISHED |
| Object | affine Dynkin diagrams |
—
|
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: affine Dynkin diagrams | Statement: [affine Lie algebras, classificationBasedOn, affine Dynkin diagrams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classificationBasedOn Context triple: [affine Lie algebras, classificationBasedOn, affine Dynkin diagrams]
-
A.
classificationAccordingTo
Indicates that an entity is assigned a particular class, type, or category as defined or determined by a specified source, standard, or authority.
-
B.
classificationSystemBasedOn
chosen
Indicates that one classification system is organized, defined, or derived using another classification system as its basis or reference framework.
-
C.
classificationIntroduced
Indicates that one entity has introduced or established a particular classification or categorization for another entity.
-
D.
classificationStart
Indicates the point in time or process at which a classification or categorization of an entity begins.
-
E.
classificationConsensus
Indicates that multiple agents or sources agree on the same classification or category assignment for a given entity or item.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea67f8081909da164ca21a98675 |
completed | April 19, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 9:43 a.m.