Triple
T1261871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SU(2)_L |
E12518
|
entity |
| Predicate | gaugeFields |
P3988
|
FINISHED |
| Object | W^a_μ (a = 1,2,3) |
—
|
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: W^a_μ (a = 1,2,3) | Statement: [SU(2)_L, gaugeFields, W^a_μ (a = 1,2,3)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gaugeFields Context triple: [SU(2)_L, gaugeFields, W^a_μ (a = 1,2,3)]
-
A.
isGaugeBosonOf
chosen
Indicates that one particle serves as the gauge boson mediating the fundamental interaction associated with another entity (such as a force or symmetry group).
-
B.
magneticField
Indicates the presence, strength, or configuration of a magnetic field associated with an entity or region.
-
C.
associatedElectromagneticPotential
Indicates that one entity stands in the role of the electromagnetic potential (e.g., scalar or vector potential) that is mathematically or physically associated with another entity.
-
D.
gaugeGroup
Indicates a relationship where a physical or theoretical model is associated with the gauge group that defines its underlying symmetry structure.
-
E.
magneticFieldStrength
Indicates the intensity or magnitude of a magnetic field associated with an entity or at a specific location.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc64e648190b9c4f980eb8168aa |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6eefbc81908dddd7d2ef368186 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:50 p.m.