Triple
T9349684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarija Department |
E224982
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
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.
|
E792567
|
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: Yacuiba | Statement: [Tarija Department, containsCity, Yacuiba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yacuiba Context triple: [Tarija Department, containsCity, Yacuiba]
-
A.
Paysandú
Paysandú is a major city in western Uruguay known as an important industrial and port center near the Argentine border.
-
B.
Tacuarembó
Tacuarembó is a city in northern Uruguay that serves as the capital of Tacuarembó Department and a regional center for culture, education, and services.
-
C.
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.
-
D.
Ciudad del Este
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.
-
E.
Gualeguaychú
Gualeguaychú is a city in eastern Argentina known for its vibrant Carnival celebrations and riverside tourism.
- 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: Yacuiba Triple: [Tarija Department, containsCity, Yacuiba]
Generated description
Yacuiba is a city in southern Bolivia near the Argentine border, known as a key commercial and transportation hub in the Gran Chaco region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yacuiba Target entity description: Yacuiba is a city in southern Bolivia near the Argentine border, known as a key commercial and transportation hub in the Gran Chaco region.
-
A.
Paysandú
Paysandú is a major city in western Uruguay known as an important industrial and port center near the Argentine border.
-
B.
Tacuarembó
Tacuarembó is a city in northern Uruguay that serves as the capital of Tacuarembó Department and a regional center for culture, education, and services.
-
C.
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.
-
D.
Ciudad del Este
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.
-
E.
Gualeguaychú
Gualeguaychú is a city in eastern Argentina known for its vibrant Carnival celebrations and riverside tourism.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f1198b88190adc0b01f7c1be36e |
completed | April 1, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e43c31008190b542a9c5aa33f30e |
completed | April 4, 2026, 10:13 a.m. |
| NEDg | Description generation | batch_69d0e587586c8190a73ce417f0b5adec |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e5eb2ce88190973acc2cc8ce254f |
completed | April 4, 2026, 10:20 a.m. |
Created at: March 30, 2026, 7:41 p.m.