Triple
T22990343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cariri region of Ceará |
E572028
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Jucás
Jucás is a municipality in the state of Ceará in northeastern Brazil, located within the culturally rich Cariri region.
|
E1565132
|
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: Jucás | Statement: [Cariri region of Ceará, hasCity, Jucás]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jucás Context triple: [Cariri region of Ceará, hasCity, Jucás]
-
A.
Tostão
Tostão is a legendary Brazilian forward who starred alongside Pelé in Brazil’s iconic 1970 World Cup–winning team and is regarded as one of the country’s greatest footballers.
-
B.
Carira
Carira is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its agricultural activities and small-town character.
-
C.
Joca
Joca is a Portuguese diminutive form of the male given name João, commonly used as an affectionate nickname.
-
D.
Juncalinho
Juncalinho is a small coastal settlement on the island of São Nicolau in Cape Verde, known for its fishing community and scenic Atlantic shoreline.
-
E.
Guzan
Guzan is the surname of American professional soccer goalkeeper Brad Guzan, known for his career in Major League Soccer and the U.S. national team.
- 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: Jucás Triple: [Cariri region of Ceará, hasCity, Jucás]
Generated description
Jucás is a municipality in the state of Ceará in northeastern Brazil, located within the culturally rich Cariri region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jucás Target entity description: Jucás is a municipality in the state of Ceará in northeastern Brazil, located within the culturally rich Cariri region.
-
A.
Tostão
Tostão is a legendary Brazilian forward who starred alongside Pelé in Brazil’s iconic 1970 World Cup–winning team and is regarded as one of the country’s greatest footballers.
-
B.
Carira
Carira is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its agricultural activities and small-town character.
-
C.
Joca
Joca is a Portuguese diminutive form of the male given name João, commonly used as an affectionate nickname.
-
D.
Juncalinho
Juncalinho is a small coastal settlement on the island of São Nicolau in Cape Verde, known for its fishing community and scenic Atlantic shoreline.
-
E.
Guzan
Guzan is the surname of American professional soccer goalkeeper Brad Guzan, known for his career in Major League Soccer and the U.S. national team.
- 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.