Triple
T6211815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rostov Oblast |
E138886
|
entity |
| Predicate | majorAgriculturalActivity |
P25683
|
FINISHED |
| Object | grain production |
—
|
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: grain production | Statement: [Rostov Oblast, majorAgriculturalActivity, grain production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorAgriculturalActivity Context triple: [Rostov Oblast, majorAgriculturalActivity, grain production]
-
A.
majorCrop
Indicates that a particular crop is one of the primary or most important crops cultivated in a given area or context.
-
B.
agriculturalPractice
Indicates a relationship where an entity engages in, applies, or is associated with a specific method or technique of agriculture or farming.
-
C.
agricultureUse
Indicates that something is used for, involved in, or designated for agricultural activities or purposes.
-
D.
pastoralActivities
Indicates activities related to providing spiritual care, guidance, or religious leadership within a community.
-
E.
hasAgriculturalProduction
chosen
Indicates that an entity engages in or is characterized by the production of agricultural goods such as crops or livestock.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0628adccc8190b94f5c2c1d5d03f7 |
completed | March 22, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:21 p.m.