Triple
T27841747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brans–Dicke theory |
E703697
|
entity |
| Predicate | relatesParameterGammaToOmega |
P200541
|
FINISHED |
| Object | γ = (1 + ω)/(2 + ω) |
—
|
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: γ = (1 + ω)/(2 + ω) | Statement: [Brans–Dicke theory, relatesParameterGammaToOmega, γ = (1 + ω)/(2 + ω)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatesParameterGammaToOmega Context triple: [Brans–Dicke theory, relatesParameterGammaToOmega, γ = (1 + ω)/(2 + ω)]
-
A.
γ_2
Indicates a secondary or alternative form of the γ relationship between entities, often representing a variant, refinement, or subordinate instance of the primary γ relation.
-
B.
nominalGamma
Indicates that something functions as a nominal element (e.g., noun-like role) within a grammatical or logical structure.
-
C.
angleGammaAlsoCalled
Indicates that the angle referred to as gamma is also known by an alternative name or designation.
-
D.
H-gammaWavelength
Indicates the specific wavelength at which hydrogen emits or is observed in the gamma spectral line.
-
E.
gaugeCoupling
Indicates the strength of interaction between fields or particles as defined by a specific gauge symmetry in a physical theory.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69ff956dc6548190979171d4b4068d47 |
completed | May 9, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69ff93dc39c481908a97a12c3ef7dfe7 |
completed | May 9, 2026, 8:06 p.m. |
| PDg | Predicate description generation | batch_69ff956cd640819081efc31f313690b0 |
completed | May 9, 2026, 8:13 p.m. |
Created at: April 27, 2026, 6:03 p.m.