Triple
T2126328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosseland mean opacity |
E46432
|
entity |
| Predicate | weightingFunction |
P35293
|
FINISHED |
| Object | dB_nu_dT |
—
|
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: dB_nu_dT | Statement: [Rosseland mean opacity, weightingFunction, dB_nu_dT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weightingFunction Context triple: [Rosseland mean opacity, weightingFunction, dB_nu_dT]
-
A.
weightingMethod
Indicates how relative importance or influence is assigned to elements within a set, such as criteria, features, or data points, in a calculation or decision process.
-
B.
sectorWeighting
Indicates the proportion or emphasis assigned to a particular sector within a broader portfolio, index, or classification.
-
C.
coordinateFunction
Indicates a functional relationship that maps or translates one set of coordinates to another within a defined space or system.
-
D.
isHeavilyWeightedToward
Indicates that something is strongly biased or disproportionately oriented in favor of one side, option, or aspect over others.
-
E.
keyFunction
Indicates that an entity serves as a primary or essential mechanism enabling a particular operation, role, or outcome for another entity.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb59182081908470f9be97e272c8 |
completed | March 7, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69abb7bd86cc8190938ef06c1ed6d969 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb895d11881908345032595a679ba |
completed | March 7, 2026, 5:33 a.m. |
Created at: March 4, 2026, 7:44 p.m.