Triple
T26322326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altos de Jalisco region |
E662145
|
entity |
| Predicate | agaveUse |
P51056
|
FINISHED |
| Object | mezcal production |
—
|
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: mezcal production | Statement: [Altos de Jalisco region, agaveUse, mezcal production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agaveUse Context triple: [Altos de Jalisco region, agaveUse, mezcal production]
-
A.
plantUse
chosen
Indicates that a plant is used for a particular purpose, function, or application.
-
B.
viticulturalUse
Indicates the way in which something is used or applied within the context of viticulture, such as grape growing or vineyard management practices.
-
C.
culinaryUse
Indicates that one entity is used in the preparation, flavoring, or serving of food or drink for another entity.
-
D.
agricultureUse
Indicates that something is used for, involved in, or designated for agricultural activities or purposes.
-
E.
traditionalUse
Indicates that something is used or practiced according to long-established customs, habits, or cultural traditions.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60f2cf8148190acaf42480d5abf0e |
completed | May 2, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 10:29 p.m.