Triple
T21652188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juazeiro |
E534364
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | state of Bahia |
—
|
NE NERFINISHED |
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: state of Bahia | Statement: [Juazeiro, partOf, state of Bahia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: state of Bahia Context triple: [Juazeiro, partOf, state of Bahia]
-
A.
State of Maranhão
The State of Maranhão was a colonial administrative division of the Portuguese Empire in South America, encompassing parts of what is now northern Brazil.
-
B.
Bahia
chosen
Bahia is a large and culturally rich state in northeastern Brazil, known for its Afro-Brazilian heritage, historic city of Salvador, and extensive Atlantic coastline.
-
C.
Bahia
Bahia is a traditional Brazilian football club based in Salvador, known for its passionate fanbase and historic success in national competitions.
-
D.
state of Pará
The state of Pará is a large, resource-rich state in northern Brazil, known for its vast Amazon rainforest areas, major rivers like the Amazon and Tocantins, and the capital city of Belém.
-
E.
State of Espírito Santo
The State of Espírito Santo is a coastal state in southeastern Brazil known for its Atlantic beaches, port cities like Vitória, and a mix of mountainous inland regions and maritime economy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef591594a08190bf0ddd0a0c0922ba |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:36 p.m.