Triple
T18371199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verdet constant |
E446183
|
entity |
| Predicate | quantityInEquation |
P75768
|
FINISHED |
| Object | θ (rotation angle) |
—
|
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: θ (rotation angle) | Statement: [Verdet constant, quantityInEquation, θ (rotation angle)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quantityInEquation Context triple: [Verdet constant, quantityInEquation, θ (rotation angle)]
-
A.
numberOfEquations
Indicates the total count of equations associated with or involved in a given entity or context.
-
B.
usesQuantity
Indicates that one entity employs or applies a specified amount or measure of another entity in performing an action or fulfilling a function.
-
C.
quantityType
Indicates that one entity is the type or category of quantity to which another entity (a specific measured or measurable amount) belongs.
-
D.
relatesToQuantity
Indicates a relationship where one entity is associated with, depends on, or is characterized by a specific quantity or amount.
-
E.
mainQuantity
chosen
Indicates that the associated value represents the primary or principal quantity in a given context or relationship.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5175324e48190a00572e15423feb7 |
completed | April 19, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:44 a.m.