Triple
T10644327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diageo |
E250799
|
entity |
| Predicate | brandOwnerOf |
P6092
|
FINISHED |
| Object |
Ypióca
Ypióca is a traditional Brazilian cachaça brand known for its aged sugarcane spirits and long-standing heritage in Brazil’s spirits market.
|
E878010
|
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: Ypióca | Statement: [Diageo, brandOwnerOf, Ypióca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ypióca Context triple: [Diageo, brandOwnerOf, Ypióca]
-
A.
Guapimirim
Guapimirim is a municipality in the state of Rio de Janeiro, Brazil, known for its mountainous landscapes and protected natural areas near Guanabara Bay.
-
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.
Ourinhos
Ourinhos is a municipality in the southwestern part of the state of São Paulo, Brazil, known as a regional commercial and agricultural center.
-
D.
Jubiabá
Jubiabá is a novel by Brazilian writer Jorge Amado that portrays Afro-Brazilian culture, social injustice, and popular resistance in Salvador, Bahia.
-
E.
Mauá
Mauá is an industrial and residential city located in the metropolitan region of São Paulo, 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: Ypióca Triple: [Diageo, brandOwnerOf, Ypióca]
Generated description
Ypióca is a traditional Brazilian cachaça brand known for its aged sugarcane spirits and long-standing heritage in Brazil’s spirits market.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ypióca Target entity description: Ypióca is a traditional Brazilian cachaça brand known for its aged sugarcane spirits and long-standing heritage in Brazil’s spirits market.
-
A.
Guapimirim
Guapimirim is a municipality in the state of Rio de Janeiro, Brazil, known for its mountainous landscapes and protected natural areas near Guanabara Bay.
-
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.
Ourinhos
Ourinhos is a municipality in the southwestern part of the state of São Paulo, Brazil, known as a regional commercial and agricultural center.
-
D.
Jubiabá
Jubiabá is a novel by Brazilian writer Jorge Amado that portrays Afro-Brazilian culture, social injustice, and popular resistance in Salvador, Bahia.
-
E.
Mauá
Mauá is an industrial and residential city located in the metropolitan region of São Paulo, 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfd04ca88190ac4fffd13c1f33a8 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a4dd4e48190ba7d0291686702e6 |
completed | April 10, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d97cc07100819088683a0d79b2baa0 |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e0cda0c8190af5013b971b2ad3c |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:05 p.m.