Triple
T26765512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | charm quark |
E674925
|
entity |
| Predicate | gaugeGroupRepresentation |
P161214
|
FINISHED |
| Object | triplet of SU(3)_color |
—
|
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: triplet of SU(3)_color | Statement: [charm quark, gaugeGroupRepresentation, triplet of SU(3)_color]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gaugeGroupRepresentation Context triple: [charm quark, gaugeGroupRepresentation, triplet of SU(3)_color]
-
A.
gaugeGroup
Indicates a relationship where a physical or theoretical model is associated with the gauge group that defines its underlying symmetry structure.
-
B.
gaugeGroupDimension
Indicates the numerical dimension (number of independent generators) of the gauge symmetry group associated with a given physical or mathematical system.
-
C.
gaugeGroupRank
Indicates the rank (number of independent generators) of the gauge group associated with a given physical or mathematical system.
-
D.
gaugeType
Indicates the specific kind or category of gauge associated with an entity or measurement.
-
E.
gaugeClass
Indicates that one entity is classified as a particular type or category of gauge.
- 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_69eecda85298819097ee1c38a3d772e7 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6192758648190ba2c0bfc9904994e |
completed | May 2, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f6106d346c8190868489f36c65b6ec |
completed | May 2, 2026, 2:55 p.m. |
Created at: April 27, 2026, 3:59 a.m.