Triple
T22629928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roundup Ready crops |
E558519
|
entity |
| Predicate | impactOnHerbicideUse |
P107722
|
FINISHED |
| Object | increase reliance on glyphosate |
—
|
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: increase reliance on glyphosate | Statement: [Roundup Ready crops, impactOnHerbicideUse, increase reliance on glyphosate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnHerbicideUse Context triple: [Roundup Ready crops, impactOnHerbicideUse, increase reliance on glyphosate]
-
A.
agriculturalImpact
Indicates the effect that an action, condition, or entity has on agricultural systems, productivity, or practices.
-
B.
agriculturalImplication
chosen
Indicates a relationship where one factor, event, or condition has consequences, effects, or relevance specifically within an agricultural context.
-
C.
landscapeImpact
Indicates how an action, project, or entity alters or affects the visual and physical character of a landscape.
-
D.
humanImpact
Indicates the effect or influence that human activities have on another entity, system, or environment.
-
E.
hasEnvironmentalImpactOn
Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3febd081909ff21abef1e4035d |
completed | April 29, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 3:02 p.m.