Triple
T8978323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuyo region |
E214455
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Mendoza |
E251243
|
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: [Cuyo region, majorCity, Mendoza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mendoza Context triple: [Cuyo region, majorCity, Mendoza]
-
A.
Mendoza
chosen
Mendoza is a major city in western Argentina known as a gateway to the Andes and the country’s premier wine-producing region.
-
B.
Mendoza
Mendoza is a common Spanish-language surname borne by numerous notable individuals across the Spanish-speaking world.
-
C.
Mendoza Province
Mendoza Province is a region in western Argentina known for its Andean landscapes, including the towering Aconcagua peak, and its prominent wine-producing industry.
-
D.
Santiago del Estero
Santiago del Estero is a historic city in northern Argentina that serves as the capital of Santiago del Estero Province and is considered one of the country’s oldest continuously inhabited settlements.
-
E.
Cafayate
Cafayate is a renowned town in northwestern Argentina famous for its high-altitude vineyards, particularly Torrontés wine, and striking desert-and-mountain 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a33c8481909125acf4b7f0a919 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3017a7c8190a7182acc7831d09b |
completed | April 4, 2026, 10:08 a.m. |
Created at: March 30, 2026, 7:03 p.m.