Triple
T24652698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rochow process |
E610296
|
entity |
| Predicate | industrialScale |
P47413
|
FINISHED |
| Object | large scale |
—
|
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: large scale | Statement: [Rochow process, industrialScale, large scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industrialScale Context triple: [Rochow process, industrialScale, large scale]
-
A.
estimatedIndustrialScale
Indicates that an entity has been assessed or projected to operate at an industrial (large-scale) level of production or activity.
-
B.
productionScale
chosen
Indicates the relative size or volume at which something is produced, such as small-scale, medium-scale, or large-scale production.
-
C.
industrializes
Indicates the process by which an entity transforms its economy or operations from primarily agrarian or manual production to large-scale, mechanized, and industrial production.
-
D.
industrialCategory
Indicates the industry or sector classification to which an entity (such as a business or organization) belongs.
-
E.
industrialFocus
Indicates a relationship where an entity is primarily concerned with, specialized in, or directed toward a particular industrial sector or area of industrial activity.
- 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_69e2c4d350a481909170482bc2ce6af9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:34 a.m.