Triple
T25853128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McCormick Harvesting Machine Company |
E651267
|
entity |
| Predicate | impactOnLabor |
P134586
|
FINISHED |
| Object | shift from hand harvesting to machine harvesting |
—
|
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: shift from hand harvesting to machine harvesting | Statement: [McCormick Harvesting Machine Company, impactOnLabor, shift from hand harvesting to machine harvesting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnLabor Context triple: [McCormick Harvesting Machine Company, impactOnLabor, shift from hand harvesting to machine harvesting]
-
A.
laborMarketEffect
chosen
Indicates the impact that an action, policy, or condition has on employment, wages, or other labor market outcomes.
-
B.
workImpact
Indicates that one entity’s work has an effect or influence on another entity, situation, or outcome.
-
C.
impactOnIndustry
Indicates the effect or influence that one entity, event, or action has on the state, performance, or development of an industry.
-
D.
effectOnWorkers
Indicates the impact or consequences that something has on workers, such as changes to their conditions, well-being, or employment.
-
E.
laborProvisionEffect
Indicates the impact or consequences that providing labor has on another entity, condition, or outcome.
- 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_69e7ab39035c8190be15c8aaee1bb858 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 22, 2026, 7:59 a.m.