Triple
T22990341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cariri region of Ceará |
E572028
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Várzea Alegre
Várzea Alegre is a municipality in the Cariri region of the Brazilian state of Ceará, known for its cultural traditions and rural landscapes.
|
E1570476
|
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: Várzea Alegre | Statement: [Cariri region of Ceará, hasCity, Várzea Alegre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Várzea Alegre Context triple: [Cariri region of Ceará, hasCity, Várzea Alegre]
-
A.
Várzea Paulista
Várzea Paulista is a municipality in southeastern Brazil known for its integration into the industrial and services corridor of the São Paulo metropolitan region.
-
B.
Várzea
Várzea is a small municipality in the state of Rio Grande do Norte, Brazil, that forms part of the Natal metropolitan region.
-
C.
Várzea da Igreja
Várzea da Igreja is a small settlement located in the municipality of São Domingos.
-
D.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
-
E.
Sapucaia
Sapucaia is a municipality located in the mountainous Região Serrana of the state of Rio de Janeiro, Brazil.
- 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: Várzea Alegre Triple: [Cariri region of Ceará, hasCity, Várzea Alegre]
Generated description
Várzea Alegre is a municipality in the Cariri region of the Brazilian state of Ceará, known for its cultural traditions and rural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Várzea Alegre Target entity description: Várzea Alegre is a municipality in the Cariri region of the Brazilian state of Ceará, known for its cultural traditions and rural landscapes.
-
A.
Várzea Paulista
Várzea Paulista is a municipality in southeastern Brazil known for its integration into the industrial and services corridor of the São Paulo metropolitan region.
-
B.
Várzea
Várzea is a small municipality in the state of Rio Grande do Norte, Brazil, that forms part of the Natal metropolitan region.
-
C.
Várzea da Igreja
Várzea da Igreja is a small settlement located in the municipality of São Domingos.
-
D.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
-
E.
Sapucaia
Sapucaia is a municipality located in the mountainous Região Serrana of the state of Rio de Janeiro, Brazil.
- 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_6a0c1599f45c8190818a8514439aba9d |
completed | May 19, 2026, 7:47 a.m. |
| NEDg | Description generation | batch_6a0c1b212f088190a31e0d314f6424df |
completed | May 19, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c1b7c4ae0819086f2909140553d4b |
completed | May 19, 2026, 8:12 a.m. |
Created at: April 17, 2026, 3:50 p.m.