Triple

T21833923
Position Surface form Disambiguated ID Type / Status
Subject Cape São Roque E539069 entity
Predicate locatedNorthOf P305 FINISHED
Object Natal, Rio Grande do Norte NE NERFINISHED

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: Natal, Rio Grande do Norte | Statement: [Cape São Roque, locatedNorthOf, Natal, Rio Grande do Norte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natal, Rio Grande do Norte
Context triple: [Cape São Roque, locatedNorthOf, Natal, Rio Grande do Norte]
  • A. Natal, Rio Grande do Norte chosen
    Natal, Rio Grande do Norte is the capital and largest city of the Brazilian state of Rio Grande do Norte, known for its coastal tourism, sand dunes, and strategic location in the country’s northeast.
  • B. Mossoró
    Mossoró is a major city in northeastern Brazil known for its oil industry, salt production, and strong cultural traditions in the state of Rio Grande do Norte.
  • C. Parnamirim
    Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
  • D. Petrolina
    Petrolina is a major city in northeastern Brazil known for its irrigated fruit production and location along the São Francisco River.
  • E. Cumbuco
    Cumbuco is a coastal village in northeastern Brazil known for its sand dunes, lagoons, and strong winds that make it a popular destination for kitesurfing and other beach tourism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a5eeb88190b58b5b6d363cd6e3 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.