Triple
T7330944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cottrell atmosphere |
E168995
|
entity |
| Predicate | reformsBy |
P75371
|
FINISHED |
| Object | diffusion during aging |
—
|
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: diffusion during aging | Statement: [Cottrell atmosphere, reformsBy, diffusion during aging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reformsBy Context triple: [Cottrell atmosphere, reformsBy, diffusion during aging]
-
A.
subjectToReformBy
Indicates that an entity is undergoing or designated for changes, improvements, or restructuring carried out by another entity.
-
B.
implementedReformsIn
Indicates that an entity (typically a person, organization, or government) carried out or put into effect specific reforms within a particular context, domain, or location.
-
C.
isPartOfReform
Indicates that an action, measure, or component belongs to, contributes to, or is included within a broader reform initiative or process.
-
D.
reform
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
-
E.
replacedInReform
Indicates that one entity was substituted or superseded by another as part of a formal reform or restructuring process.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0ab0b1881909f8f086b81fdddb7 |
completed | March 27, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69c6e77230048190b2c29ca6b3a65b8e |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6e80ae5688190ac3d6c1bdf9532f0 |
completed | March 27, 2026, 8:26 p.m. |
Created at: March 27, 2026, 3:03 p.m.