Triple
T32468395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aomori apples |
E829777
|
entity |
| Predicate | grownUsing |
P50683
|
FINISHED |
| Object | careful pest management |
—
|
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: careful pest management | Statement: [Aomori apples, grownUsing, careful pest management]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grownUsing Context triple: [Aomori apples, grownUsing, careful pest management]
-
A.
plantUse
Indicates that a plant is used for a particular purpose, function, or application.
-
B.
agricultureUse
Indicates that something is used for, involved in, or designated for agricultural activities or purposes.
-
C.
usedAgriculture
chosen
Indicates that an entity employed agricultural methods, practices, or resources for cultivation, production, or related purposes.
-
D.
crop
Indicates the action of cutting or trimming part of an object or image, typically to remove unwanted outer areas while keeping a selected region.
-
E.
cultivatedOutdoors
Indicates that something is grown or produced outside in natural or open-air conditions rather than indoors or in controlled environments.
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c35400148190952f711f098ae7a3 |
completed | May 3, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69f6ba700a708190ab6db62791e43774 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:57 a.m.