Triple
T3786115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cotton gin |
E85533
|
entity |
| Predicate | efficiencyComparedToManual |
P51497
|
FINISHED |
| Object | much faster than hand separation |
—
|
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: much faster than hand separation | Statement: [cotton gin, efficiencyComparedToManual, much faster than hand separation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: efficiencyComparedToManual Context triple: [cotton gin, efficiencyComparedToManual, much faster than hand separation]
-
A.
maximumEfficiency
Indicates that an entity operates at its highest possible level of performance or productivity under given conditions.
-
B.
isLessEfficientThan
Indicates that one entity performs a task or uses resources with lower efficiency compared to another entity.
-
C.
marginEfficiency
Indicates how effectively the margin between revenue and costs is generated or utilized in a given context.
-
D.
typicalEfficiencyComparedToPredecessor
Indicates how the usual or average efficiency of something compares to that of its predecessor.
-
E.
canAutomate
Indicates that one entity has the capability to perform, control, or execute another entity’s process or task automatically without continuous human intervention.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d3c92c819081d9d5c45ef37a5d |
completed | March 9, 2026, 3:14 p.m. |
| PDg | Predicate description generation | batch_69aee633dab88190b14cec8afb19ca6a |
completed | March 9, 2026, 3:24 p.m. |
Created at: March 9, 2026, 3:13 p.m.