Triple

T15554662
Position Surface form Disambiguated ID Type / Status
Subject Goiás E370836 entity
Predicate hasBorderWith P224 FINISHED
Object Mato Grosso do Sul E133771 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: Mato Grosso do Sul | Statement: [Goiás, hasBorderWith, Mato Grosso do Sul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mato Grosso do Sul
Context triple: [Goiás, hasBorderWith, Mato Grosso do Sul]
  • A. Mato Grosso do Sul chosen
    Mato Grosso do Sul is a landlocked state in Brazil’s Center-West region, known for its vast Pantanal wetlands, rich biodiversity, and cattle ranching economy.
  • 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. Paraná state
    Paraná state is a southern Brazilian state known for its diverse landscapes, major agricultural production, and popular natural attractions including part of the Iguaçu National Park.
  • D. Rio Grande do Sul
    Rio Grande do Sul is Brazil’s southernmost state, known for its gaucho culture, strong agricultural economy, and shared borders with Uruguay and Argentina.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a96c0c88190808f68601a36b506 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82e56ffc81909e3228a660df4e09 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:09 a.m.