Triple
T25641561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ste. Michelle Wine Estates |
E642849
|
entity |
| Predicate | primaryRegionOfProduction |
P70121
|
FINISHED |
| Object | Washington State |
—
|
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: Washington State | Statement: [Ste. Michelle Wine Estates, primaryRegionOfProduction, Washington State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRegionOfProduction Context triple: [Ste. Michelle Wine Estates, primaryRegionOfProduction, Washington State]
-
A.
intendedProductionRegion
Indicates the geographic area or region where something is planned or designated to be produced.
-
B.
hasPrimaryProductionLocation
chosen
Indicates that an entity’s main or principal place where it is produced or manufactured is a specified location.
-
C.
primaryCropRegion
Indicates that a region is a main or predominant area where a particular crop is grown or produced.
-
D.
firstProductionPlace
Indicates the location where something was originally or first produced.
-
E.
isMajorProducerOf
Indicates that an entity plays a leading or highly significant role in producing or supplying a particular product, resource, or output.
- 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 21, 2026, 5:43 p.m.