Triple

T6758921
Position Surface form Disambiguated ID Type / Status
Subject Ilha do Zeca (Areias) E154538 entity
Predicate hasName P744 FINISHED
Object Ilha do Zeca E528428 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: Ilha do Zeca | Statement: [Ilha do Zeca (Areias), hasName, Ilha do Zeca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilha do Zeca
Context triple: [Ilha do Zeca (Areias), hasName, Ilha do Zeca]
  • A. Ilha do Zeca chosen
    Ilha do Zeca is a small Brazilian island, likely located in a coastal or riverine area, known locally by this same name.
  • B. Ilha do Monteiro
    Ilha do Monteiro is an island district within the coastal Brazilian city of Recife, known for its urban setting amid the city’s network of rivers and estuaries.
  • C. Ilha Joana Bezerra
    Ilha Joana Bezerra is an island neighborhood within the Brazilian city of Recife, known for its dense urban fabric and proximity to the city’s central areas.
  • D. Ilha da Barreta
    Ilha da Barreta is a remote, uninhabited barrier island in Portugal’s Algarve region, known for its long, pristine sandy beach and protected natural environment within the Ria Formosa lagoon system.
  • E. Ilha do Funil
    Ilha do Funil is an island located within the coastal area of Recife, a major city in northeastern Brazil.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f90b6c8190b4a17a23aa9ba0fb completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712b0926c81909601f21407526fd9 completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:11 p.m.