Triple
T9122471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umkhosi Wokweshwama |
E218886
|
entity |
| Predicate | typeOfHarvest |
P1897
|
FINISHED |
| Object | maize and other staple 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: maize and other staple crops | Statement: [Umkhosi Wokweshwama, typeOfHarvest, maize and other staple crops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfHarvest Context triple: [Umkhosi Wokweshwama, typeOfHarvest, maize and other staple crops]
-
A.
agriculturalProduce
Indicates that one entity is an agricultural product (such as crops or livestock-derived goods) produced by or associated with another entity.
-
B.
isCultivatedAs
Indicates that one entity is intentionally grown, tended, or produced by another as a crop, resource, or cultivated organism.
-
C.
majorCrop
chosen
Indicates that a particular crop is one of the primary or most important crops cultivated in a given area or context.
-
D.
cultivatedFor
Indicates that one entity is intentionally grown, raised, or developed for the benefit, use, or purpose of another entity.
-
E.
isHarvestedBy
Indicates that something (typically a resource, crop, or material) is collected or gathered through the actions of a particular agent or method.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b46dac8190bde88205c85f596a |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:17 p.m.