Triple
T3671343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yakima Valley AVA (part) |
E77885
|
entity |
| Predicate | agriculturalRegionType |
P1828
|
FINISHED |
| Object | wine grape growing region |
—
|
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: wine grape growing region | Statement: [Yakima Valley AVA (part), agriculturalRegionType, wine grape growing region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agriculturalRegionType Context triple: [Yakima Valley AVA (part), agriculturalRegionType, wine grape growing region]
-
A.
locatedInAgriculturalRegion
Indicates that an entity is situated within a region primarily characterized by agricultural activities or land use.
-
B.
naturalRegionType
Indicates the type or category of natural region to which a given area or place belongs.
-
C.
regionType
chosen
Indicates the classification or category of a region, specifying what kind of region it is (e.g., administrative, geographic, or functional).
-
D.
supportsAgricultureInRegion
Indicates that an entity provides resources, conditions, or assistance that enable or enhance agricultural activities within a specified region.
-
E.
hasAgriculturalCharacter
Indicates that something possesses qualities, features, or uses typical of agriculture or farming activities.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42de1bc819090e19dd0805f13a1 |
completed | March 8, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69adb84a20288190a092e4a1b045fe3f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.