Triple
T6277133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weinberg angle |
E140688
|
entity |
| Predicate | definesMixingOf |
P47548
|
FINISHED |
| Object | electromagnetic 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: electromagnetic interaction | Statement: [Weinberg angle, definesMixingOf, electromagnetic interaction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesMixingOf Context triple: [Weinberg angle, definesMixingOf, electromagnetic interaction]
-
A.
mixesWith
Indicates that one entity is combined or blended together with another entity to form a mixture.
-
B.
mixesElementsOf
chosen
Indicates a relationship where one entity combines or blends components, features, or aspects of another entity or set of entities into a unified whole.
-
C.
definesComposition
Indicates that one entity specifies or establishes the structural or component makeup of another entity.
-
D.
mixedAt
Indicates that one entity has been combined or blended together with another entity (or entities), typically to form a mixture at a specific time or place.
-
E.
definesUseOf
Indicates that one entity specifies or determines how another entity is to be used or applied.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063d96fbc8190a9091456b82762d1 |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.