Triple
T31994191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gezira region |
E816948
|
entity |
| Predicate | cropRotation |
P138883
|
FINISHED |
| Object | cotton and food crops |
—
|
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: cotton and food crops | Statement: [Gezira region, cropRotation, cotton and food crops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cropRotation Context triple: [Gezira region, cropRotation, cotton and food crops]
-
A.
cropRotationPractice
chosen
Indicates that an entity engages in the planned sequence of growing different crops on the same land over time to manage soil health, pests, and productivity.
-
B.
rotationEffect
Indicates that one entity is rotated around a specified point or axis by a given angle, affecting its orientation relative to other entities.
-
C.
rotationType
Indicates the specific kind or mode of rotational movement or orientation applied in a given context.
-
D.
rotationProcess
Indicates a process in which something is turned or rotated around an axis or point over time.
-
E.
exportOrientation
Indicates that an entity’s activities, production, or strategy are primarily directed toward serving foreign or international markets rather than domestic ones.
- 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_69f348f8002081909a3588758ba94afb |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b3bdbcb08190b9fe7baf11e612a5 |
completed | May 3, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:13 a.m.