Triple

T13634791
Position Surface form Disambiguated ID Type / Status
Subject Ilhéu de Cima E325819 entity
Predicate hasPortugueseName P23359 FINISHED
Object Ilhéu de Cima E325819 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: Ilhéu de Cima | Statement: [Ilhéu de Cima, hasPortugueseName, Ilhéu de Cima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilhéu de Cima
Context triple: [Ilhéu de Cima, hasPortugueseName, Ilhéu de Cima]
  • A. Ilhéu de Cima chosen
    Ilhéu de Cima is a small uninhabited islet off the coast of Porto Santo in the Madeira archipelago of Portugal, known for its rugged terrain and seabird habitats.
  • B. Ilha do Funil
    Ilha do Funil is an island located within the coastal area of Recife, a major city in northeastern Brazil.
  • C. Ilhéu Chão
    Ilhéu Chão is a small, uninhabited islet in the Desertas Islands archipelago off Madeira, Portugal, known for its protected natural environment and seabird habitats.
  • D. 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.
  • E. Ilha Solteira
    Ilha Solteira is a municipality in the state of São Paulo, Brazil, known for its large hydroelectric dam and as a regional center for education and engineering.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a616dc81908b8c1213e1d4beed completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78aef6fd08190b209a94b9ddd024c completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.