Triple

T9730317
Position Surface form Disambiguated ID Type / Status
Subject Uberlândia E235721 entity
Predicate state P87 FINISHED
Object Minas Gerais E190780 NE FINISHED

How this triple was built (2 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: Minas Gerais | Statement: [Uberlândia, state, Minas Gerais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minas Gerais
Context triple: [Uberlândia, state, Minas Gerais]
  • A. Minas Gerais chosen
    Minas Gerais is a large, historically rich state in southeastern Brazil known for its colonial-era towns, mining heritage, and significant cultural and architectural landmarks.
  • B. Goiás
    Goiás is a large inland state in central Brazil known for its agricultural production, Cerrado savanna landscapes, and the regional capital city of Goiânia.
  • C. State of Espírito Santo
    The State of Espírito Santo is a coastal state in southeastern Brazil known for its Atlantic beaches, port cities like Vitória, and a mix of mountainous inland regions and maritime economy.
  • D. Ceará
    Ceará is a state in northeastern Brazil known for its long Atlantic coastline, semi-arid interior, and vibrant cultural traditions centered around its capital, Fortaleza.
  • E. Piauí
    Piauí is a state in northeastern Brazil known for its semi-arid landscapes, short Atlantic coastline, and rich archaeological sites such as those in Serra da Capivara National Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb0ff488190ac32ed304a3cd3bc completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69de21a949508190ad16b061ead5ed24 completed April 14, 2026, 11:14 a.m.
Created at: March 30, 2026, 8:21 p.m.