Triple
T35026368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jagraon |
E1010347
|
entity |
| Predicate | primaryCropRegionFor |
P150179
|
FINISHED |
| Object | Wheat |
—
|
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: Wheat | Statement: [Jagraon, primaryCropRegionFor, Wheat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCropRegionFor Context triple: [Jagraon, primaryCropRegionFor, Wheat]
-
A.
primaryCropRegion
chosen
Indicates that a region is a main or predominant area where a particular crop is grown or produced.
-
B.
primaryCultRegion
Indicates the main geographic region where a deity, figure, or cult was predominantly worshipped or venerated.
-
C.
majorCrop
Indicates that a particular crop is one of the primary or most important crops cultivated in a given area or context.
-
D.
cultivatedPrimarilyIn
Indicates that something is mainly grown, produced, or farmed in a particular place or environment.
-
E.
connectsToAgriculturalRegion
Indicates a relationship where something is linked or associated with an agricultural region, such as through proximity, infrastructure, or functional interaction.
- 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_69f76dccf0108190af43b465d3750196 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.