Triple

T8169541
Position Surface form Disambiguated ID Type / Status
Subject Minas Gerais E190780 entity
Predicate containsCity P294 FINISHED
Object Sabará
Sabará is a historic colonial-era city in southeastern Brazil known for its well-preserved baroque architecture and gold-mining heritage.
 E715960 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: Sabará | Statement: [Minas Gerais, containsCity, Sabará]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sabará
Context triple: [Minas Gerais, containsCity, Sabará]
  • A. Sabara
    Sabara is a surname most notably associated with American actor Daryl Sabara, known for his role in the "Spy Kids" film series.
  • B. Túcume
    Túcume is a large pre-Columbian archaeological complex in northern Peru, renowned for its numerous adobe pyramids and its importance within the Lambayeque (Sicán) culture.
  • C. Itumbiara
    Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
  • D. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • E. Bensafrim
    Bensafrim is a village and former civil parish in the municipality of Lagos, in Portugal’s Algarve region.
  • 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: Sabará
Triple: [Minas Gerais, containsCity, Sabará]
Generated description
Sabará is a historic colonial-era city in southeastern Brazil known for its well-preserved baroque architecture and gold-mining heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sabará
Target entity description: Sabará is a historic colonial-era city in southeastern Brazil known for its well-preserved baroque architecture and gold-mining heritage.
  • A. Sabara
    Sabara is a surname most notably associated with American actor Daryl Sabara, known for his role in the "Spy Kids" film series.
  • B. Túcume
    Túcume is a large pre-Columbian archaeological complex in northern Peru, renowned for its numerous adobe pyramids and its importance within the Lambayeque (Sicán) culture.
  • C. Itumbiara
    Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
  • D. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • E. Bensafrim
    Bensafrim is a village and former civil parish in the municipality of Lagos, in Portugal’s Algarve region.
  • 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.