Triple
T22990331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cariri region of Ceará |
E572028
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Brejo Santo
Brejo Santo is a municipality in the southern part of the Brazilian state of Ceará, known for its role as a regional commercial and service center in the Cariri area.
|
E1565124
|
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: Brejo Santo | Statement: [Cariri region of Ceará, hasCity, Brejo Santo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brejo Santo Context triple: [Cariri region of Ceará, hasCity, Brejo Santo]
-
A.
Brejo da Guabiraba
Brejo da Guabiraba is a neighborhood located in the northern zone of Recife, in the state of Pernambuco, Brazil.
-
B.
Brejo Grande
Brejo Grande is a small coastal municipality in the Brazilian state of Sergipe, known for its location at the mouth of the São Francisco River.
-
C.
Brejo de Beberibe
Brejo de Beberibe is a neighborhood within the city of Recife in the state of Pernambuco, Brazil.
-
D.
Mata de São João
Mata de São João is a coastal municipality in the Brazilian state of Bahia, known for its beaches and tourist destinations such as Praia do Forte.
-
E.
Caicó
Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
- 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: Brejo Santo Triple: [Cariri region of Ceará, hasCity, Brejo Santo]
Generated description
Brejo Santo is a municipality in the southern part of the Brazilian state of Ceará, known for its role as a regional commercial and service center in the Cariri area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brejo Santo Target entity description: Brejo Santo is a municipality in the southern part of the Brazilian state of Ceará, known for its role as a regional commercial and service center in the Cariri area.
-
A.
Brejo da Guabiraba
Brejo da Guabiraba is a neighborhood located in the northern zone of Recife, in the state of Pernambuco, Brazil.
-
B.
Brejo Grande
Brejo Grande is a small coastal municipality in the Brazilian state of Sergipe, known for its location at the mouth of the São Francisco River.
-
C.
Brejo de Beberibe
Brejo de Beberibe is a neighborhood within the city of Recife in the state of Pernambuco, Brazil.
-
D.
Mata de São João
Mata de São João is a coastal municipality in the Brazilian state of Bahia, known for its beaches and tourist destinations such as Praia do Forte.
-
E.
Caicó
Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182ee3afc819099fbc6bef0b83bd5 |
completed | April 29, 2026, 4:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bd3792ad0819094416aebc79ab1f7 |
completed | May 19, 2026, 3:05 a.m. |
| NEDg | Description generation | batch_6a0bd40988808190add22943683b7a1b |
completed | May 19, 2026, 3:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bd503b1588190979b9895327a3475 |
completed | May 19, 2026, 3:12 a.m. |
Created at: April 17, 2026, 3:50 p.m.