Triple
T1169993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recife |
E24891
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Dois Unidos
Dois Unidos is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
|
E141699
|
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: Dois Unidos | Statement: [Recife, hasPart, Dois Unidos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dois Unidos Context triple: [Recife, hasPart, Dois Unidos]
-
A.
Dois Irmãos
Dois Irmãos is a neighborhood in the city of Recife, Brazil, known for its green areas and proximity to the Dois Irmãos State Park and zoo.
-
B.
Parnamirim
Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
-
C.
Afogados
Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
-
D.
Corumbá
Corumbá is a Brazilian city in the state of Mato Grosso do Sul, known as a key gateway to the Pantanal wetlands and an important regional center for river trade and ecotourism.
-
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: Dois Unidos Triple: [Recife, hasPart, Dois Unidos]
Generated description
Dois Unidos is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dois Unidos Target entity description: Dois Unidos is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
A.
Dois Irmãos
Dois Irmãos is a neighborhood in the city of Recife, Brazil, known for its green areas and proximity to the Dois Irmãos State Park and zoo.
-
B.
Parnamirim
Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
-
C.
Afogados
Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
-
D.
Corumbá
Corumbá is a Brazilian city in the state of Mato Grosso do Sul, known as a key gateway to the Pantanal wetlands and an important regional center for river trade and ecotourism.
-
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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bce821b481908bc278a3fa7973f4 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f6d4e788190b993dc2bdd69ed26 |
completed | March 7, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69ac8fe33f2c8190bd2ea9dfa9744a3a |
completed | March 7, 2026, 8:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac90412d3881909278a9a6c6536ce3 |
completed | March 7, 2026, 8:53 p.m. |
Created at: March 1, 2026, 7:45 p.m.