Triple
T16991931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coxeter–Dynkin diagrams |
E412212
|
entity |
| Predicate | edgeLabelMeaning |
P94971
|
FINISHED |
| Object | multiplicity of bond corresponds to order of product of reflections |
—
|
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: multiplicity of bond corresponds to order of product of reflections | Statement: [Coxeter–Dynkin diagrams, edgeLabelMeaning, multiplicity of bond corresponds to order of product of reflections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: edgeLabelMeaning Context triple: [Coxeter–Dynkin diagrams, edgeLabelMeaning, multiplicity of bond corresponds to order of product of reflections]
-
A.
edgeType
Indicates the specific kind or category of connection that exists between two related entities.
-
B.
labelOf
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
-
C.
objectMeaning
Indicates that one entity represents, expresses, or conveys the meaning or semantic content of another entity.
-
D.
degMeaning
chosen
Indicates that one entity specifies or encodes the meaning or semantic interpretation of another entity.
-
E.
labelDepicts
Indicates that one entity serves as a label or caption that visually or textually represents, illustrates, or describes another entity.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d283d2388190a78bf8d179e83fdc |
completed | April 18, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.