Triple

T19164933
Position Surface form Disambiguated ID Type / Status
Subject Ilha do Maio E469154 entity
Predicate hasSettlement P1068 FINISHED
Object Ribeira Dom João 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: Ribeira Dom João | Statement: [Ilha do Maio, hasSettlement, Ribeira Dom João]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ribeira Dom João
Context triple: [Ilha do Maio, hasSettlement, Ribeira Dom João]
  • A. Ribeira Dom João chosen
    Ribeira Dom João is a small coastal village located on the island of Maio in Cape Verde, known for its quiet rural character and Atlantic shoreline.
  • B. Ribeira da Cruz
    Ribeira da Cruz is a small coastal village on the island of Santo Antão in Cape Verde, known for its rural character and proximity to mountainous landscapes.
  • C. Ribeira de Pena
    Ribeira de Pena is a town in northern Portugal that serves as the administrative and cultural center of the surrounding municipality.
  • D. Ribeira do Ilhéu
    Ribeira do Ilhéu is a small coastal settlement in the Mosteiros region on the island of São Miguel in the Azores, Portugal.
  • E. Ribeira
    Ribeira is a historic riverside district in Porto, Portugal, known for its narrow medieval streets, colorful buildings, and vibrant waterfront atmosphere along the Douro River.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f15e2720819084b1707497db26a2 completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.