Triple

T13669823
Position Surface form Disambiguated ID Type / Status
Subject Porto Santo Airport E327718 entity
Predicate cityServed P82 FINISHED
Object Vila Baleira E319460 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 Baleira | Statement: [Porto Santo Airport, cityServed, Vila Baleira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vila Baleira
Context triple: [Porto Santo Airport, cityServed, Vila Baleira]
  • A. Vila Baleira chosen
    Vila Baleira is the main urban center and administrative hub of Porto Santo Island in Portugal’s Madeira archipelago, known for its proximity to long sandy beaches and historical ties to Christopher Columbus.
  • B. Vila do Porto
    Vila do Porto is the main town and oldest settlement in the Azores, located on Santa Maria Island in Portugal.
  • C. Vila Flor
    Vila Flor is a municipality in northern Portugal, situated in the Douro region known for its wine production and scenic landscapes.
  • D. Vila do Corvo
    Vila do Corvo is the only town and main population center on Corvo Island in Portugal’s Azores archipelago, known for its small size and remote Atlantic location.
  • E. Vila Belmiro
    Vila Belmiro is the historic home stadium of Santos FC in Santos, Brazil, renowned as one of the most traditional football grounds in the country.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6599c248190b7f134b5b9947a23 completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0f56048190bcbc6581a8cdc0f5 completed May 3, 2026, 5:51 p.m.
Created at: April 9, 2026, 9:53 p.m.