Triple
T24135792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyishi people |
E598080
|
entity |
| Predicate | agriculturalCrop |
P37212
|
FINISHED |
| Object | millet |
—
|
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: millet | Statement: [Nyishi people, agriculturalCrop, millet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agriculturalCrop Context triple: [Nyishi people, agriculturalCrop, millet]
-
A.
crop
Indicates the action of cutting or trimming part of an object or image, typically to remove unwanted outer areas while keeping a selected region.
-
B.
majorCrop
Indicates that a particular crop is one of the primary or most important crops cultivated in a given area or context.
-
C.
agriculturalProduce
Indicates that one entity is an agricultural product (such as crops or livestock-derived goods) produced by or associated with another entity.
-
D.
isCultivatedAs
chosen
Indicates that one entity is intentionally grown, tended, or produced by another as a crop, resource, or cultivated organism.
-
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_69e288c92e448190ac57034fa0c863ce |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1df7c3ce08190bcbd9056a6630c2f |
completed | April 29, 2026, 10:37 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:27 p.m.