Triple
T9643846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juiz de Fora |
E233142
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
juiz-forana
A juiz-forana is a resident or native of Juiz de Fora, a major city in the state of Minas Gerais, Brazil.
|
E812303
|
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: juiz-forana | Statement: [Juiz de Fora, hasDemonym, juiz-forana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: juiz-forana Context triple: [Juiz de Fora, hasDemonym, juiz-forana]
-
A.
Laranjeiro e Feijó
Laranjeiro e Feijó is a civil parish in the municipality of Almada, Portugal, formed by the merger of the former parishes of Laranjeiro and Feijó and located in the Lisbon metropolitan area.
-
B.
Baião
Baião is a Portuguese wine subregion within Vinho Verde, known for producing fresh, aromatic white wines, often from the Avesso grape.
-
C.
Cajueiro
Cajueiro is a neighborhood within the city of Recife in northeastern Brazil.
-
D.
Provedor de Justiça
Provedor de Justiça is Portugal’s independent ombudsman institution responsible for defending citizens’ rights and ensuring public authorities comply with the law and principles of justice.
-
E.
Fogão
Fogão is the popular nickname of Brazilian football club Botafogo de Futebol e Regatas, one of Rio de Janeiro’s traditional teams.
- 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: juiz-forana Triple: [Juiz de Fora, hasDemonym, juiz-forana]
Generated description
A juiz-forana is a resident or native of Juiz de Fora, a major city in the state of Minas Gerais, Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: juiz-forana Target entity description: A juiz-forana is a resident or native of Juiz de Fora, a major city in the state of Minas Gerais, Brazil.
-
A.
Laranjeiro e Feijó
Laranjeiro e Feijó is a civil parish in the municipality of Almada, Portugal, formed by the merger of the former parishes of Laranjeiro and Feijó and located in the Lisbon metropolitan area.
-
B.
Baião
Baião is a Portuguese wine subregion within Vinho Verde, known for producing fresh, aromatic white wines, often from the Avesso grape.
-
C.
Cajueiro
Cajueiro is a neighborhood within the city of Recife in northeastern Brazil.
-
D.
Provedor de Justiça
Provedor de Justiça is Portugal’s independent ombudsman institution responsible for defending citizens’ rights and ensuring public authorities comply with the law and principles of justice.
-
E.
Fogão
Fogão is the popular nickname of Brazilian football club Botafogo de Futebol e Regatas, one of Rio de Janeiro’s traditional teams.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b7e2c488190b0f0dfa6d82618c8 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18252c1cc81908d33c9c55d645fbf |
completed | April 4, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69d18324756c819089eb7edc107ed8b2 |
completed | April 4, 2026, 9:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1856b88908190a787765e1d8f001f |
completed | April 4, 2026, 9:40 p.m. |
Created at: March 30, 2026, 8:12 p.m.