Triple

T7010938
Position Surface form Disambiguated ID Type / Status
Subject Norte Region E162577 entity
Predicate containsCity P294 FINISHED
Object Vila Nova de Gaia E181992 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: Vila Nova de Gaia | Statement: [Norte Region, containsCity, Vila Nova de Gaia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vila Nova de Gaia
Context triple: [Norte Region, containsCity, Vila Nova de Gaia]
  • A. Vila Nova de Gaia, Portugal chosen
    Vila Nova de Gaia is a large city in northern Portugal, located across the Douro River from Porto and renowned for its historic port wine cellars and riverfront.
  • B. Vila Nova de Famalicão
    Vila Nova de Famalicão is a municipality in northern Portugal known for its strong industrial base, particularly in textiles and manufacturing.
  • C. Póvoa de Varzim
    Póvoa de Varzim is a coastal city in northern Portugal known for its fishing heritage, beaches, and historic role as a seaside resort.
  • D. Oeiras
    Oeiras is a coastal municipality in the Lisbon metropolitan area of Portugal, known for its residential suburbs, business parks, and proximity to the capital.
  • E. Oeiras
    Oeiras is a historic city in the Brazilian state of Piauí, known for being the state's first capital and for its well-preserved colonial architecture.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc3917c481909a288c3e56630c48 completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa5cf190819093f3dc9513361e49 completed March 28, 2026, 3:57 p.m.
Created at: March 27, 2026, 2:34 p.m.