Triple

T11363971
Position Surface form Disambiguated ID Type / Status
Subject Porto Airport E269155 entity
Predicate cityServed P82 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: [Porto Airport, cityServed, Vila Nova de Gaia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vila Nova de Gaia
Context triple: [Porto Airport, cityServed, Vila Nova de Gaia]
  • A. Vila do Conde
    Vila do Conde is a coastal city in northern Portugal known for its historic shipbuilding heritage, beaches, and well-preserved medieval architecture.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea4589908190948a8225768e1eec completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e603bbb84c81908a29fcef32d3cf31 completed April 20, 2026, 10:45 a.m.
Created at: April 8, 2026, 9:33 p.m.