Triple

T21544865
Position Surface form Disambiguated ID Type / Status
Subject Cala Major E531594 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Porto Pi area — NE NERFINISHED

How this triple was built (3 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: Porto Pi area | Statement: [Cala Major, hasNearbyAttraction, Porto Pi area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Porto Pi area
Context triple: [Cala Major, hasNearbyAttraction, Porto Pi area]
  • A. Rossio area
    The Rossio area is a historic and bustling central square in Lisbon, Portugal, known for its wave-patterned cobblestone pavement, lively cafés, and surrounding neoclassical architecture.
  • B. Baixa Pombalina area
    The Baixa Pombalina area is Lisbon’s historic downtown district, rebuilt in a distinctive grid plan with neoclassical architecture after the 1755 earthquake and known today as a major commercial and tourist hub.
  • C. Porto Maravilha area
    The Porto Maravilha area is a revitalized waterfront district in Rio de Janeiro featuring modern infrastructure, cultural attractions, and redeveloped port facilities.
  • D. Metropolitan Area of Porto
    The Metropolitan Area of Porto is a major urban and economic region in northern Portugal centered on the city of Porto and encompassing several surrounding municipalities, including Vila Nova de Gaia.
  • E. Ribeira district
    The Ribeira district is Porto’s historic riverside quarter, known for its narrow medieval streets, colorful waterfront buildings, and lively cafés along the Douro River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Porto Pi area
Target entity description: The Porto Pi area is a waterfront district in Palma de Mallorca known for its large shopping center, marina, and proximity to beaches and cruise terminals.
  • A. Rossio area
    The Rossio area is a historic and bustling central square in Lisbon, Portugal, known for its wave-patterned cobblestone pavement, lively cafés, and surrounding neoclassical architecture.
  • B. Baixa Pombalina area
    The Baixa Pombalina area is Lisbon’s historic downtown district, rebuilt in a distinctive grid plan with neoclassical architecture after the 1755 earthquake and known today as a major commercial and tourist hub.
  • C. Porto Maravilha area
    The Porto Maravilha area is a revitalized waterfront district in Rio de Janeiro featuring modern infrastructure, cultural attractions, and redeveloped port facilities.
  • D. Metropolitan Area of Porto
    The Metropolitan Area of Porto is a major urban and economic region in northern Portugal centered on the city of Porto and encompassing several surrounding municipalities, including Vila Nova de Gaia.
  • E. Ribeira district
    The Ribeira district is Porto’s historic riverside quarter, known for its narrow medieval streets, colorful waterfront buildings, and lively cafés along the Douro River.
  • F. None of above. chosen

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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58e38808190888f3501cf4fff7c completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.