Triple
T16535549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mendoza River |
E401680
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object |
Luján de Cuyo
Luján de Cuyo is a renowned wine-producing city and department in Argentina’s Mendoza Province, famous for its Malbec vineyards and scenic Andean foothill landscapes.
|
E1220912
|
NE FINISHED |
How this triple was built (4 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: Luján de Cuyo | Statement: [Mendoza River, flowsNear, Luján de Cuyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luján de Cuyo Context triple: [Mendoza River, flowsNear, Luján de Cuyo]
-
A.
San Rafael (Mendoza)
San Rafael (Mendoza) is a city in Argentina’s Mendoza Province known for its wine production, agriculture, and proximity to popular Andean tourist attractions.
-
B.
Río Cuarto
Río Cuarto is a major city in central Argentina known as an important commercial, agricultural, and educational hub within Córdoba Province.
-
C.
San Justo
San Justo is a city in the Buenos Aires Province of Argentina, forming part of the Greater Buenos Aires metropolitan area.
-
D.
Mendoza
Mendoza is a common Spanish-language surname borne by numerous notable individuals across the Spanish-speaking world.
-
E.
Mendoza
Mendoza is a major city in western Argentina known as a gateway to the Andes and the country’s premier wine-producing region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Luján de Cuyo Triple: [Mendoza River, flowsNear, Luján de Cuyo]
Generated description
Luján de Cuyo is a renowned wine-producing city and department in Argentina’s Mendoza Province, famous for its Malbec vineyards and scenic Andean foothill landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luján de Cuyo Target entity description: Luján de Cuyo is a renowned wine-producing city and department in Argentina’s Mendoza Province, famous for its Malbec vineyards and scenic Andean foothill landscapes.
-
A.
San Rafael (Mendoza)
San Rafael (Mendoza) is a city in Argentina’s Mendoza Province known for its wine production, agriculture, and proximity to popular Andean tourist attractions.
-
B.
Río Cuarto
Río Cuarto is a major city in central Argentina known as an important commercial, agricultural, and educational hub within Córdoba Province.
-
C.
San Justo
San Justo is a city in the Buenos Aires Province of Argentina, forming part of the Greater Buenos Aires metropolitan area.
-
D.
Mendoza
Mendoza is a common Spanish-language surname borne by numerous notable individuals across the Spanish-speaking world.
-
E.
Mendoza
Mendoza is a major city in western Argentina known as a gateway to the Andes and the country’s premier wine-producing region.
- F. None of above. chosen
Provenance (5 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e345574d88819094548367bf983078 |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ed808448190936ea51a9a28a95a |
completed | May 10, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a006fe59a6c8190a8c0a7bc11495f56 |
completed | May 10, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007068715c8190914ccac7b14103e4 |
completed | May 10, 2026, 11:47 a.m. |
Created at: April 10, 2026, 5:15 a.m.