Triple
T25856809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maringá |
E651371
|
entity |
| Predicate | mainCropsRegion |
P150179
|
FINISHED |
| Object | soybeans |
—
|
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: soybeans | Statement: [Maringá, mainCropsRegion, soybeans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCropsRegion Context triple: [Maringá, mainCropsRegion, soybeans]
-
A.
primaryCropRegion
chosen
Indicates that a region is a main or predominant area where a particular crop is grown or produced.
-
B.
majorCrop
Indicates that a particular crop is one of the primary or most important crops cultivated in a given area or context.
-
C.
cultivatedPrimarilyIn
Indicates that something is mainly grown, produced, or farmed in a particular place or environment.
-
D.
cultivatedInRegion
Indicates that something (such as a crop or plant) is grown or produced through cultivation within a specified geographic region.
-
E.
widelyCultivatedIn
Indicates that something is grown extensively or on a large scale within a particular place or region.
- 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_69e7ab39035c8190be15c8aaee1bb858 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 22, 2026, 8 a.m.