Triple

T14198287
Position Surface form Disambiguated ID Type / Status
Subject Morro Alto E351896 entity
Predicate near P350 FINISHED
Object Lagoa Negra E353060 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: Lagoa Negra | Statement: [Morro Alto, near, Lagoa Negra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lagoa Negra
Context triple: [Morro Alto, near, Lagoa Negra]
  • A. Lagoa Negra chosen
    Lagoa Negra is a small, dark-hued volcanic crater lake located on Flores Island in Portugal’s Azores archipelago.
  • B. Lagoa Comprida
    Lagoa Comprida is a scenic freshwater lake on Flores Island in Portugal’s Azores archipelago, known for its tranquil setting amid lush volcanic landscapes.
  • C. Lagoa Comprida
    Lagoa Comprida is a large glacial lake and reservoir in Portugal’s Serra da Estrela mountains, popular for its scenic views and outdoor recreation.
  • D. Lagoa do Paraíso
    Lagoa do Paraíso is a famous crystal-clear freshwater lagoon with white sand and hammock-lined shallows, popular for relaxation and water activities in the Jericoacoara region of Ceará, Brazil.
  • E. Lagoa Mundaú
    Lagoa Mundaú is a coastal lagoon in Alagoas, Brazil, known for its scenic boat tours, mangrove landscapes, and traditional fishing communities near Maceió.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e30f208190b61c1c7bd3501156 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194d14008190a74021ff5a3e51d1 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.