Triple
T31783838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kisii |
E811274
|
entity |
| Predicate | mainCropsTraded |
P1897
|
FINISHED |
| Object | tea |
—
|
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: tea | Statement: [Kisii, mainCropsTraded, tea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCropsTraded Context triple: [Kisii, mainCropsTraded, tea]
-
A.
majorCrop
chosen
Indicates that a particular crop is one of the primary or most important crops cultivated in a given area or context.
-
B.
haveAgriculturalTrade
Indicates that there is an ongoing exchange of agricultural goods or services between the related entities.
-
C.
agriculturalExportShare
Indicates the proportion of a region’s total exports that consists of agricultural products.
-
D.
majorTradeType
Indicates the primary category or kind of trade activity that characterizes the relationship between the involved entities.
-
E.
agriculturalProduce
Indicates that one entity is an agricultural product (such as crops or livestock-derived goods) produced by or associated with 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: April 30, 2026, 11:37 p.m.