Triple
T8655906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paraná (state) |
E205414
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Londrina |
E438769
|
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: Londrina | Statement: [Paraná (state), hasCity, Londrina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Londrina Context triple: [Paraná (state), hasCity, Londrina]
-
A.
Londrina
chosen
Londrina is a major city in the southern Brazilian state of Paraná known for its significant Japanese Brazilian community and strong agricultural-based economy.
-
B.
Uberlândia
Uberlândia is a major commercial and logistics hub in the Brazilian state of Minas Gerais, known for its agribusiness, services sector, and strategic location in the country's Southeast.
-
C.
Cuiabá
Cuiabá is the capital city of Brazil’s Mato Grosso state and a primary urban hub and access point for exploring the Pantanal wetlands.
-
D.
Vitória
Vitória is the capital city of the Brazilian state of Espírito Santo, known for its coastal setting, port activities, and surrounding islands.
-
E.
Vitória
Vitória is a traditional Brazilian football club from Salvador, Bahia, best known for its intense local rivalry with Esporte Clube Bahia in the Ba–Vi derby.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4844586081909b687e278496eefa |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecce40c248190b4f2b21a1ecde80b |
completed | April 2, 2026, 8:09 p.m. |
Created at: March 30, 2026, 6:29 p.m.