Triple

T2068848
Position Surface form Disambiguated ID Type / Status
Subject Southeast Region of Brazil E45968 entity
Predicate containsCity P294 FINISHED
Object Santos E89307 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: Santos | Statement: [Southeast Region of Brazil, containsCity, Santos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santos
Context triple: [Southeast Region of Brazil, containsCity, Santos]
  • A. Santos
    Santos is a common Portuguese surname shared by numerous notable figures in politics, sports, and the arts across Portuguese-speaking countries.
  • B. Santos chosen
    Santos is a major Brazilian port city on the coast of São Paulo state, known for its extensive coffee export history and popular beachfront.
  • C. Nova Cruz
    Nova Cruz is a municipality in the Brazilian state of Rio Grande do Norte, known as a regional commercial and service center in the Agreste Potiguar area.
  • D. De Rosario
    De Rosario is the surname of Dwayne De Rosario, a prominent Canadian former professional soccer player known for his goal-scoring and playmaking in Major League Soccer.
  • E. Gamboa
    Gamboa is a small town in Panama best known for its location along the Panama Canal and its proximity to the surrounding rainforest and canal infrastructure.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9f51a008190aead0173a9289204 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2724f46c81909521ca75185ef5f1 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:41 p.m.