Triple
T4545966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army of the Andes |
E110047
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Cuyo |
E214455
|
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: Cuyo | Statement: [Army of the Andes, regionServed, Cuyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cuyo Context triple: [Army of the Andes, regionServed, Cuyo]
-
A.
Cafayate
Cafayate is a renowned town in northwestern Argentina famous for its high-altitude vineyards, particularly Torrontés wine, and striking desert-and-mountain landscapes.
-
B.
Río Negro Province
Río Negro Province is a large region in northern Patagonia, Argentina, known for its diverse landscapes ranging from Andean mountains and lakes to Atlantic coastline and fertile valleys.
-
C.
Cuyo region
chosen
The Cuyo region is a western Argentine area known for its Andean landscapes, major wine-producing provinces like Mendoza and San Juan, and significant mining and agricultural activities.
-
D.
Mendoza
Mendoza is a major city in western Argentina known as a gateway to the Andes and the country’s premier wine-producing region.
-
E.
Montt
Montt is a Chilean surname most notably associated with Manuel Montt, a 19th-century president of Chile.
- 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57d761cc8190a7c8bdef6d130b5d |
completed | March 20, 2026, 2:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde06ca7f8819089305179ce52352d |
completed | March 21, 2026, 12:03 a.m. |
Created at: March 20, 2026, 1:05 p.m.