Triple
T830243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malbec |
E17947
|
entity |
| Predicate | notableRegion |
P22
|
FINISHED |
| Object | Mendoza |
E50047
|
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: Mendoza | Statement: [Malbec, notableRegion, Mendoza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mendoza Context triple: [Malbec, notableRegion, Mendoza]
-
A.
Mendoza Province
chosen
Mendoza Province is a region in western Argentina known for its Andean landscapes, including the towering Aconcagua peak, and its prominent wine-producing industry.
-
B.
Santa Fe, Argentina
Santa Fe, Argentina is a major river port city and the capital of Santa Fe Province, located in northeastern Argentina along the Paraná and Salado rivers.
-
C.
Bariloche
Bariloche is a popular Argentine city in the Andean region known for its lakes, mountains, skiing, and Swiss-style alpine architecture.
-
D.
Catamarca Province
Catamarca Province is a sparsely populated, mountainous province in northwestern Argentina known for its high Andean peaks, arid landscapes, and rich mining and colonial history.
-
E.
Buenos Aires Province
Buenos Aires Province is Argentina’s largest and most populous province, surrounding but not including the federal capital and encompassing major agricultural, industrial, and coastal regions.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb384988190949d2df65662f76d |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b84547508190b82c2012f4342529 |
completed | March 4, 2026, 4:42 a.m. |
Created at: March 1, 2026, 7:38 p.m.