Triple
T2328790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carménère |
E48352
|
entity |
| Predicate | notableRegion |
P22
|
FINISHED |
| Object | Maipo Valley |
E25409
|
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: Maipo Valley | Statement: [Carménère, notableRegion, Maipo Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maipo Valley Context triple: [Carménère, notableRegion, Maipo Valley]
-
A.
Maipo Valley
chosen
Maipo Valley is one of Chile’s most renowned wine-producing regions, especially famous for its high-quality Cabernet Sauvignon and other red wines.
-
B.
Maipo River
The Maipo River is one of central Chile’s most important rivers, flowing from the Andes through the Santiago metropolitan area and supporting agriculture, industry, and water supply in the region.
-
C.
Choapa Valley
Choapa Valley is a prominent wine-producing valley in Chile known for its dry climate, coastal influence, and high-quality Syrah and Cabernet Sauvignon.
-
D.
Diguillín Valley
Diguillín Valley is a fertile agricultural and wine-producing valley in central Chile, known for its scenic landscapes and role in the Ñuble Region’s rural economy.
-
E.
Ubaté Valley
Ubaté Valley is a high Andean valley in central Colombia known for its fertile lands, dairy production, and surrounding mountainous landscapes.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc665c6548190af90d70475b4519b |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae897243c48190a18b0e02ad664ead |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:50 p.m.