Triple

T8680866
Position Surface form Disambiguated ID Type / Status
Subject Estádio São Januário E206032 entity
Predicate locatedInNeighborhood P40 FINISHED
Object São Cristóvão E147473 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: São Cristóvão | Statement: [Estádio São Januário, locatedInNeighborhood, São Cristóvão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São Cristóvão
Context triple: [Estádio São Januário, locatedInNeighborhood, São Cristóvão]
  • A. São Cristóvão
    São Cristóvão was one of the ships in the Portuguese fleet commanded by Bartolomeu Dias during his pioneering voyage around the Cape of Good Hope in the late 15th century.
  • B. São Cristóvão chosen
    São Cristóvão is one of Brazil’s oldest colonial cities, known for its well-preserved historic center and UNESCO-listed São Francisco Square.
  • C. Boa Vista
    Boa Vista is one of Cape Verde’s easternmost islands, known for its extensive sandy beaches, desert-like landscapes, and tourism-focused resorts.
  • D. Boa Vista
    Boa Vista is a central neighborhood in Recife, Brazil, known for its historic architecture, commercial activity, and cultural significance.
  • E. Ilhéus
    Ilhéus is a historic coastal city in northeastern Brazil known for its cacao production, beaches, and role as the setting of several novels by writer Jorge Amado.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae6d19c8190be003f7901c0468d completed March 31, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3b2be2081908a8744b77c4753f2 completed April 2, 2026, 10:54 p.m.
Created at: March 30, 2026, 6:32 p.m.