Triple
T29462071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rioja Alavesa |
E747264
|
entity |
| Predicate | typicalAgingCategory |
P203678
|
FINISHED |
| Object | Crianza |
—
|
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: Crianza | Statement: [Rioja Alavesa, typicalAgingCategory, Crianza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAgingCategory Context triple: [Rioja Alavesa, typicalAgingCategory, Crianza]
-
A.
typicalAgingIndication
Indicates that something serves as a sign or marker commonly associated with the normal process of aging.
-
B.
typicalAgingPotentialRange
Indicates the usual range of time over which something is expected to age or mature under normal conditions.
-
C.
typicalAgingContainer
Indicates that something is a commonly used or standard type of container in which an item (such as a product or material) undergoes an aging process.
-
D.
olderTowards
Indicates that one entity is older in age relative to another entity.
-
E.
ageBased
Indicates a relationship or condition that depends on or is determined by the age of the entities involved.
- F. None of above. chosen
Provenance (4 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_69f0bd4125f88190b56104591351619c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_6a01c51e2d088190b9dcce5b6de1cb9b |
completed | May 11, 2026, 12:01 p.m. |
| PD | Predicate disambiguation | batch_6a01c4c715a48190b7435de8a9d86fd4 |
completed | May 11, 2026, noon |
| PDg | Predicate description generation | batch_6a01c51ca9cc819082f3dac7cff17fc3 |
completed | May 11, 2026, 12:01 p.m. |
Created at: April 28, 2026, 3:50 p.m.