Triple

T2893798
Position Surface form Disambiguated ID Type / Status
Subject Olhão E63889 entity
Predicate providesAccessTo P1985 FINISHED
Object Ilha da Culatra E193452 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 da Culatra | Statement: [Olhão, providesAccessTo, Ilha da Culatra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilha da Culatra
Context triple: [Olhão, providesAccessTo, Ilha da Culatra]
  • A. Ilhéu das Rolas
    Ilhéu das Rolas is a small tropical island off the southern tip of São Tomé, notable for being crossed by the equator and for its beaches and ecotourism.
  • B. São Jorge Island
    São Jorge Island is a long, narrow volcanic island in the central group of Portugal’s Azores archipelago, known for its dramatic cliffs, fajãs (coastal plains), and traditional cheese production.
  • C. Santa Maria Island
    Santa Maria Island is the southernmost island of Portugal’s Azores archipelago, known for its warmer, drier climate and distinctive white-sand beaches.
  • D. Ilha de Faro chosen
    Ilha de Faro is a coastal barrier island in southern Portugal known for its sandy beaches, lagoon landscapes, and role as a popular seaside destination near the city of Faro.
  • E. Ilha do Nogueira
    Ilha do Nogueira is a neighborhood island within the city of Recife in northeastern Brazil, known for its urban residential character amid the city's extensive network of waterways.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe063de6c8190bce9ddefd1dd62e1 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b086531854819086ec55f2269c96e0 completed March 10, 2026, 9 p.m.
Created at: March 6, 2026, 10:07 p.m.