Triple
T2906735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinogasta |
E62782
|
entity |
| Predicate | grapeProduction |
P33546
|
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: [Tinogasta, grapeProduction, wine grapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeProduction Context triple: [Tinogasta, grapeProduction, wine grapes]
-
A.
producesWine
Indicates that one entity creates or manufactures wine as a product.
-
B.
wineGrapesCultivated
chosen
Indicates that certain grape varieties are grown or cultivated specifically for producing wine.
-
C.
grapeColorProduced
Indicates the color that is produced by or characteristic of a given grape.
-
D.
viticulturalFocus
Indicates a focus on or specialization in viticulture, i.e., activities, practices, or interests centered on grape growing and vineyard management.
-
E.
viticulturePractice
Indicates a relationship where a specific method, technique, or practice is used in the cultivation and management of grapevines.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0d0628c81909680af2f0db2ecae |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd19bac881908f047d616aca8438 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:11 p.m.