Triple
T15879569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurelwood District AVA |
E385038
|
entity |
| Predicate | soilDrainageCharacteristic |
P42725
|
FINISHED |
| Object | well-drained soils |
—
|
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: well-drained soils | Statement: [Laurelwood District AVA, soilDrainageCharacteristic, well-drained soils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soilDrainageCharacteristic Context triple: [Laurelwood District AVA, soilDrainageCharacteristic, well-drained soils]
-
A.
soilPreference
Indicates the type or condition of soil that an entity prefers or is best suited to grow or exist in.
-
B.
hasSoilProperty
chosen
Indicates that a soil entity possesses or is characterized by a specific soil-related property or attribute.
-
C.
hasSoil
Indicates that one entity possesses, contains, or is associated with a particular type or instance of soil.
-
D.
soilOrigin
Indicates the source or provenance from which a given soil was formed or obtained.
-
E.
soilFertility
Indicates the level or quality of nutrients and conditions in soil that affect its ability to support plant growth.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.