Triple
T385404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Helena, California |
E8769
|
entity |
| Predicate | primaryAgriculturalProduct |
P7216
|
FINISHED |
| Object | wine grapes |
—
|
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 grapes | Statement: [St. Helena, California, primaryAgriculturalProduct, wine grapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAgriculturalProduct Context triple: [St. Helena, California, primaryAgriculturalProduct, wine grapes]
-
A.
majorCrop
Indicates that a particular crop is one of the primary or most important crops cultivated in a given area or context.
-
B.
primaryProduct
chosen
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
-
C.
agriculturalPractice
Indicates a relationship where an entity engages in, applies, or is associated with a specific method or technique of agriculture or farming.
-
D.
widelyCultivatedIn
Indicates that something is grown extensively or on a large scale within a particular place or region.
-
E.
primaryFeedstock
Indicates that one entity serves as the main raw material or input used to produce, process, or operate another entity.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec4345a48190a413261cba4eafd7 |
completed | Feb. 28, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69a2e967d84c8190a6b647f78d95d4e4 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.