Triple

T8169543
Position Surface form Disambiguated ID Type / Status
Subject Minas Gerais E190780 entity
Predicate containsCity P294 FINISHED
Object Tiradentes
Tiradentes is a small historic town in southeastern Brazil renowned for its well-preserved colonial architecture and baroque churches.
 E715961 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: Tiradentes | Statement: [Minas Gerais, containsCity, Tiradentes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tiradentes
Context triple: [Minas Gerais, containsCity, Tiradentes]
  • A. Zumbi dos Palmares
    Zumbi dos Palmares was a 17th-century Afro-Brazilian leader and last chief of the Quilombo dos Palmares, symbolizing Black resistance to slavery in Brazil.
  • B. Marcos Maceo
    Marcos Maceo was the father of Cuban independence hero Antonio Maceo and a member of the prominent Maceo family involved in Cuba’s 19th-century liberation struggles.
  • C. Zumbi
    Zumbi is a neighborhood in the city of Recife, Brazil.
  • D. Joaquim Nabuco
    Joaquim Nabuco was a prominent Brazilian diplomat, writer, and leading abolitionist who played a key role in the movement to end slavery in Brazil.
  • E. Júlio de Castilho
    Júlio de Castilho was a Portuguese writer, journalist, and politician known for his historical and topographical studies of Lisbon.
  • 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: Tiradentes
Triple: [Minas Gerais, containsCity, Tiradentes]
Generated description
Tiradentes is a small historic town in southeastern Brazil renowned for its well-preserved colonial architecture and baroque churches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tiradentes
Target entity description: Tiradentes is a small historic town in southeastern Brazil renowned for its well-preserved colonial architecture and baroque churches.
  • A. Zumbi dos Palmares
    Zumbi dos Palmares was a 17th-century Afro-Brazilian leader and last chief of the Quilombo dos Palmares, symbolizing Black resistance to slavery in Brazil.
  • B. Marcos Maceo
    Marcos Maceo was the father of Cuban independence hero Antonio Maceo and a member of the prominent Maceo family involved in Cuba’s 19th-century liberation struggles.
  • C. Zumbi
    Zumbi is a neighborhood in the city of Recife, Brazil.
  • D. Joaquim Nabuco
    Joaquim Nabuco was a prominent Brazilian diplomat, writer, and leading abolitionist who played a key role in the movement to end slavery in Brazil.
  • E. Júlio de Castilho
    Júlio de Castilho was a Portuguese writer, journalist, and politician known for his historical and topographical studies of Lisbon.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4803de688190960438aa059d163b completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf542c388190b99fe4f0c6b7b946 completed April 1, 2026, 6:46 a.m.
NEDg Description generation batch_69ccc312a8608190b899394752ef375f completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd83115fc8190a3e276bed0a00926 completed April 1, 2026, 8:32 a.m.
Created at: March 30, 2026, 5:39 p.m.