Triple
T29242855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zea mays |
E741358
|
entity |
| Predicate | majorProducerRegion |
P194938
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Zea mays, majorProducerRegion, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorProducerRegion Context triple: [Zea mays, majorProducerRegion, United States]
-
A.
intendedProductionRegion
Indicates the geographic area or region where something is planned or designated to be produced.
-
B.
isMajorProducerOf
Indicates that an entity plays a leading or highly significant role in producing or supplying a particular product, resource, or output.
-
C.
commercialImportanceRegion
Indicates that a region holds notable commercial significance or value within a given context.
-
D.
developmentRegion
Indicates the geographic or administrative region in which something is developed, produced, or primarily created.
-
E.
coProductionRegions
Indicates the regions or countries that jointly participated in producing a work (e.g., a film or TV show) as co-producers.
- F. None of above. chosen
Provenance (4 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
| PDg | Predicate description generation | batch_69fd91a44268819081b372296e3aa116 |
completed | May 8, 2026, 7:32 a.m. |
Created at: April 28, 2026, 12:31 p.m.