Triple
T20695677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everglades Agricultural Area |
E508653
|
entity |
| Predicate | majorProducerOf |
P33520
|
FINISHED |
| Object | U.S. sugarcane |
—
|
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: U.S. sugarcane | Statement: [Everglades Agricultural Area, majorProducerOf, U.S. sugarcane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorProducerOf Context triple: [Everglades Agricultural Area, majorProducerOf, U.S. sugarcane]
-
A.
notableManufacturer
Indicates that an entity is a well-known or prominent producer or maker of another entity.
-
B.
makerOf
Indicates that one entity is the creator, producer, or manufacturer of another entity.
-
C.
isMajorProducerOf
chosen
Indicates that an entity plays a leading or highly significant role in producing or supplying a particular product, resource, or output.
-
D.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
E.
alsoManufacturedBy
Indicates that an item or product is produced by an additional manufacturer beyond the primary or previously mentioned one.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c11180e481908423385fbe97ab26 |
completed | April 21, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:10 p.m.