Triple
T13711533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1999 Copa América |
E328782
|
entity |
| Predicate | hostCity |
P1798
|
FINISHED |
| Object | Ciudad del Este |
E151507
|
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: Ciudad del Este | Statement: [1999 Copa América, hostCity, Ciudad del Este]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ciudad del Este Context triple: [1999 Copa América, hostCity, Ciudad del Este]
-
A.
Ciudad del Este
chosen
Ciudad del Este is a major commercial city in eastern Paraguay, known as a busy border trading hub near the tri-border area with Brazil and Argentina.
-
B.
Yacuiba
Yacuiba is a city in southern Bolivia near the Argentine border, known as a key commercial and transportation hub in the Gran Chaco region.
-
C.
Paysandú
Paysandú is a major city in western Uruguay known as an important industrial and port center near the Argentine border.
-
D.
Ciudad de Corrientes
Ciudad de Corrientes is the capital city of the Corrientes Province in northeastern Argentina, known for its colonial architecture and location along the Paraná River.
-
E.
Chapecó
Chapecó is a major city in the state of Santa Catarina known as an important regional hub for agribusiness and food processing in southern Brazil.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4395e8c0819098719c8cd344aa33 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8cd0280819081c524660f3822f3 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 9:54 p.m.