Triple
T7259695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Brazil |
E159616
|
entity |
| Predicate | hasMusicGenre |
P526
|
FINISHED |
| Object |
sertanejo
Sertanejo is a popular Brazilian country music genre characterized by romantic lyrics, acoustic guitars, and strong roots in rural and interior cultural traditions.
|
E651378
|
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: sertanejo | Statement: [Southern Brazil, hasMusicGenre, sertanejo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: sertanejo Context triple: [Southern Brazil, hasMusicGenre, sertanejo]
-
A.
Sedini
Sedini is a small historic town in northern Sardinia, Italy, known for its distinctive rock-carved dwellings and traditional rural character.
-
B.
Arjona
Arjona is a Spanish-origin surname shared by various notable individuals in fields such as entertainment, sports, and the arts.
-
C.
Erceg
Erceg is a surname most notably associated with New Zealand footballer Abby Erceg.
-
D.
Svilajnac
Svilajnac is a small Serbian town in the Pomoravlje District, known for its location in the Morava River valley and its regional administrative and cultural role.
-
E.
Sesma
Sesma is a namesake associated with the Mexican municipality of Chalchicomula de Sesma in the state of Puebla.
- 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: sertanejo Triple: [Southern Brazil, hasMusicGenre, sertanejo]
Generated description
Sertanejo is a popular Brazilian country music genre characterized by romantic lyrics, acoustic guitars, and strong roots in rural and interior cultural traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: sertanejo Target entity description: Sertanejo is a popular Brazilian country music genre characterized by romantic lyrics, acoustic guitars, and strong roots in rural and interior cultural traditions.
-
A.
Sedini
Sedini is a small historic town in northern Sardinia, Italy, known for its distinctive rock-carved dwellings and traditional rural character.
-
B.
Arjona
Arjona is a Spanish-origin surname shared by various notable individuals in fields such as entertainment, sports, and the arts.
-
C.
Erceg
Erceg is a surname most notably associated with New Zealand footballer Abby Erceg.
-
D.
Svilajnac
Svilajnac is a small Serbian town in the Pomoravlje District, known for its location in the Morava River valley and its regional administrative and cultural role.
-
E.
Sesma
Sesma is a namesake associated with the Mexican municipality of Chalchicomula de Sesma in the state of Puebla.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eac5311c819094fc6880f3152813 |
completed | March 27, 2026, 8:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3bda4808190810f2d170cb693b9 |
completed | March 28, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69c7d4690adc81909abbfb7a756f453d |
completed | March 28, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d517a7108190893878cbef7d1a3a |
completed | March 28, 2026, 1:18 p.m. |
Created at: March 27, 2026, 2:57 p.m.