Triple

T22431221
Position Surface form Disambiguated ID Type / Status
Subject Central Potiguar E554503 entity
Predicate containsMunicipality P852 FINISHED
Object Caicó 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: Caicó | Statement: [Central Potiguar, containsMunicipality, Caicó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caicó
Context triple: [Central Potiguar, containsMunicipality, Caicó]
  • A. Caicó chosen
    Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
  • B. Braz de Aviz
    Braz de Aviz is a Brazilian cardinal of the Roman Catholic Church known for his leadership roles in the Vatican, including as prefect of the Dicastery for Institutes of Consecrated Life and Societies of Apostolic Life.
  • C. Aquidabã
    Aquidabã is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known as the sertão.
  • D. Mauá
    Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
  • E. Celorico da Beira
    Celorico da Beira is a historic municipality in central Portugal, known for its medieval castle and strong tradition of Serra da Estrela cheese production.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a32139481909baaf9275f5e0257 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.