Triple

T8169546
Position Surface form Disambiguated ID Type / Status
Subject Minas Gerais E190780 entity
Predicate containsCity P294 FINISHED
Object Uberaba
Uberaba is a mid-sized Brazilian city in the western part of Minas Gerais state, known for its strong agribusiness sector and cattle breeding traditions.
E720315 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: Uberaba | Statement: [Minas Gerais, containsCity, Uberaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uberaba
Context triple: [Minas Gerais, containsCity, Uberaba]
  • A. Guaratinguetá
    Guaratinguetá is a historic municipality in southeastern Brazil known for its colonial heritage and religious tourism, located in the state of São Paulo.
  • B. Sorocaba
    Sorocaba is a major industrial and commercial city in southeastern Brazil, located in the interior of the state of São Paulo.
  • C. Barueri
    Barueri is a rapidly developing municipality in the São Paulo metropolitan area of Brazil, known for its strong commercial sector and high standard of living.
  • D. Mogi Guaçu
    Mogi Guaçu is a municipality in the interior of Brazil’s São Paulo state, known for its industrial activity and the Mogi Guaçu River that runs through it.
  • E. Ribeirão Pires
    Ribeirão Pires is a municipality in the Greater São Paulo metropolitan region of Brazil, known for its green areas and role as a residential and service hub near the state capital.
  • 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: Uberaba
Triple: [Minas Gerais, containsCity, Uberaba]
Generated description
Uberaba is a mid-sized Brazilian city in the western part of Minas Gerais state, known for its strong agribusiness sector and cattle breeding traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Uberaba
Target entity description: Uberaba is a mid-sized Brazilian city in the western part of Minas Gerais state, known for its strong agribusiness sector and cattle breeding traditions.
  • A. Guaratinguetá
    Guaratinguetá is a historic municipality in southeastern Brazil known for its colonial heritage and religious tourism, located in the state of São Paulo.
  • B. Sorocaba
    Sorocaba is a major industrial and commercial city in southeastern Brazil, located in the interior of the state of São Paulo.
  • C. Barueri
    Barueri is a rapidly developing municipality in the São Paulo metropolitan area of Brazil, known for its strong commercial sector and high standard of living.
  • D. Mogi Guaçu
    Mogi Guaçu is a municipality in the interior of Brazil’s São Paulo state, known for its industrial activity and the Mogi Guaçu River that runs through it.
  • E. Ribeirão Pires
    Ribeirão Pires is a municipality in the Greater São Paulo metropolitan region of Brazil, known for its green areas and role as a residential and service hub near the state capital.
  • 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_69cd347e2d2c81909b3c8d0f922e7c37 completed April 1, 2026, 3:06 p.m.
NEDg Description generation batch_69cd36ef47e88190ae96ea2459552247 completed April 1, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_69cd4e9d362481908283d58b03c7ef9b completed April 1, 2026, 4:58 p.m.
Created at: March 30, 2026, 5:39 p.m.