Triple
T32261910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grainger County |
E824174
|
entity |
| Predicate | hasTomatoVariety |
P8128
|
FINISHED |
| Object | Grainger County tomato |
—
|
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: Grainger County tomato | Statement: [Grainger County, hasTomatoVariety, Grainger County tomato]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTomatoVariety Context triple: [Grainger County, hasTomatoVariety, Grainger County tomato]
-
A.
containsTomatoBase
Indicates that one entity includes or is made with a tomato-based component as a fundamental part.
-
B.
isPrimaryVarietyOf
Indicates that one variety is the main or principal form of another related variety or entity.
-
C.
hasCultivar
chosen
Indicates that one entity is a plant species or variety that possesses, includes, or is associated with a specific cultivated variety (cultivar) as another entity.
-
D.
isOldVariety
Indicates that one entity is an older or traditional variety or form of another entity.
-
E.
hasVarietyOf
Indicates that an entity possesses or offers multiple different types, forms, or versions of something.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 1, 2026, 12:41 a.m.