Triple
T1261834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SU(2)_L |
E12518
|
entity |
| Predicate | gaugeGroupOf |
P5369
|
FINISHED |
| Object | weak interaction |
—
|
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: weak interaction | Statement: [SU(2)_L, gaugeGroupOf, weak interaction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gaugeGroupOf Context triple: [SU(2)_L, gaugeGroupOf, weak interaction]
-
A.
gaugeGroup
chosen
Indicates a relationship where a physical or theoretical model is associated with the gauge group that defines its underlying symmetry structure.
-
B.
labelGroup
Indicates that an entity is assigned to or associated with a particular group label used for categorization or organization.
-
C.
trackGauge
Indicates the distance between the inner faces of the rails in a railway track system.
-
D.
primaryGauge
Indicates that one gauge is designated as the main or principal measurement instrument among a set of gauges.
-
E.
numberOfGroups
Indicates the total count of distinct groups associated with or formed within a given context or 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_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.