Triple
T1210456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergipe |
E25986
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object |
Agreste Sergipano
Agreste Sergipano is a semi-arid transitional subregion of the Brazilian state of Sergipe, characterized by mixed agricultural activity and a landscape between the coastal zone and the sertão.
|
E139768
|
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: Agreste Sergipano | Statement: [Sergipe, hasRegion, Agreste Sergipano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agreste Sergipano Context triple: [Sergipe, hasRegion, Agreste Sergipano]
-
A.
Tamarineira
Tamarineira is a neighborhood in the Brazilian city of Recife, known for its residential areas and local commerce.
-
B.
Cajueiro
Cajueiro is a neighborhood within the city of Recife in northeastern Brazil.
-
C.
A Serrana
A Serrana is a Portuguese opera composed by Alfredo Keil, recognized as one of the significant works in 19th-century Portuguese musical theater.
-
D.
Afogados
Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
-
E.
Currais Novos
Currais Novos is a municipality in the interior of the Brazilian state of Rio Grande do Norte, known for its semi-arid climate, livestock farming, and mineral resources.
- 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: Agreste Sergipano Triple: [Sergipe, hasRegion, Agreste Sergipano]
Generated description
Agreste Sergipano is a semi-arid transitional subregion of the Brazilian state of Sergipe, characterized by mixed agricultural activity and a landscape between the coastal zone and the sertão.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agreste Sergipano Target entity description: Agreste Sergipano is a semi-arid transitional subregion of the Brazilian state of Sergipe, characterized by mixed agricultural activity and a landscape between the coastal zone and the sertão.
-
A.
Tamarineira
Tamarineira is a neighborhood in the Brazilian city of Recife, known for its residential areas and local commerce.
-
B.
Cajueiro
Cajueiro is a neighborhood within the city of Recife in northeastern Brazil.
-
C.
A Serrana
A Serrana is a Portuguese opera composed by Alfredo Keil, recognized as one of the significant works in 19th-century Portuguese musical theater.
-
D.
Afogados
Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
-
E.
Currais Novos
Currais Novos is a municipality in the interior of the Brazilian state of Rio Grande do Norte, known for its semi-arid climate, livestock farming, and mineral resources.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bde4670481908c16a3a8c1a54aad |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8319d0e88190977a4d434b209f11 |
completed | March 7, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69ac838fc3d08190aa43d7f2767fe7d2 |
completed | March 7, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac8425ab408190a25c0f5db40ae77f |
completed | March 7, 2026, 8:01 p.m. |
Created at: March 1, 2026, 7:46 p.m.