Triple
T22629979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bt cotton |
E558520
|
entity |
| Predicate | adoptionPattern |
P81258
|
FINISHED |
| Object | rapid adoption in major cotton-growing countries |
—
|
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: rapid adoption in major cotton-growing countries | Statement: [Bt cotton, adoptionPattern, rapid adoption in major cotton-growing countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adoptionPattern Context triple: [Bt cotton, adoptionPattern, rapid adoption in major cotton-growing countries]
-
A.
adoptionMode
Indicates the manner or method by which something is adopted, implemented, or taken into use in relation to another entity.
-
B.
adoptionType
Indicates the specific category or manner in which an adoption relationship is established or recognized between entities.
-
C.
adoptionFrequency
Indicates how often an entity adopts or takes on another entity, such as a practice, item, or individual, over a given period.
-
D.
adoptionLevel
chosen
Indicates the degree or extent to which something (such as a product, practice, or technology) has been taken up, accepted, or implemented by its intended users or audience.
-
E.
adopts
Indicates that one entity formally takes another into its care, control, or use, assuming ongoing responsibility or ownership.
- 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.