Triple
T12644385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maipú |
E301983
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | Malbec |
E17947
|
NE 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: Malbec | Statement: [Maipú, hasProduct, Malbec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malbec Context triple: [Maipú, hasProduct, Malbec]
-
A.
Malbec
chosen
Malbec is a dark, full-bodied red wine grape variety known for its rich plum and blackberry flavors, most famously associated with Argentina.
-
B.
Bonarda
Bonarda is a red wine grape variety widely cultivated in Argentina, known for producing deeply colored, fruit-forward wines with soft tannins.
-
C.
Merlot
Merlot is a popular red wine grape variety known for producing smooth, medium- to full-bodied wines with soft tannins and flavors of plum, black cherry, and chocolate.
-
D.
Carménère
Carménère is a dark-skinned red wine grape, historically from Bordeaux but now most famously grown in Chile, known for producing deeply colored, herbaceous wines with notes of red fruits and green pepper.
-
E.
Torrontés wine
Torrontés wine is a highly aromatic, crisp white wine variety from Argentina, noted for its floral, citrusy character and refreshing acidity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9614bf2f881909976becdf747f4fb |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6687961d88190a605f17425ad7547 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:17 p.m.