Triple
T29585484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | belg rainy season (Ethiopia) |
E753707
|
entity |
| Predicate | typicalCropsPlanted |
P1897
|
FINISHED |
| Object | maize |
—
|
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: maize | Statement: [belg rainy season (Ethiopia), typicalCropsPlanted, maize]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCropsPlanted Context triple: [belg rainy season (Ethiopia), typicalCropsPlanted, maize]
-
A.
typeOfCropsCovered
Indicates the specific kinds of crops that are included or protected under a given coverage, policy, or arrangement.
-
B.
majorCrop
chosen
Indicates that a particular crop is one of the primary or most important crops cultivated in a given area or context.
-
C.
majorCropSpecies
Indicates that the object is a primary or dominant crop species cultivated in the subject region or context.
-
D.
cultivatedPrimarilyIn
Indicates that something is mainly grown, produced, or farmed in a particular place or environment.
-
E.
cultivatedSpecies
Indicates that one entity is a species that is intentionally grown or cultivated by 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_6a01e4ba62748190a4756689219b6269 |
completed | May 11, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_6a01e3fc2d908190a075c7c1549e5640 |
completed | May 11, 2026, 2:13 p.m. |
Created at: April 28, 2026, 6:10 p.m.