Triple

T13077964
Position Surface form Disambiguated ID Type / Status
Subject TER E329627 entity
Predicate identifies P310 FINISHED
Object Lajes Airport E65096 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: Lajes Airport | Statement: [TER, identifies, Lajes Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lajes Airport
Context triple: [TER, identifies, Lajes Airport]
  • A. Lajes Airport chosen
    Lajes Airport is a joint civil-military airfield on Terceira Island in the Azores, Portugal, serving both regional flights and strategic military operations in the North Atlantic.
  • B. Horta Airport
    Horta Airport is a regional airport serving the island of Faial in the Azores archipelago of Portugal, providing domestic and limited international connections.
  • C. Cesária Évora Airport
    Cesária Évora Airport is the main international airport serving the island of São Vicente in Cape Verde, named after the renowned Cape Verdean singer Cesária Évora.
  • D. São Jorge Airport
    São Jorge Airport is a small regional airport in the Azores archipelago of Portugal that provides air connections between São Jorge Island and other islands and mainland destinations.
  • E. Francisco Sá Carneiro Airport
    Francisco Sá Carneiro Airport is the main international airport serving Porto, Portugal, and one of the country’s busiest air transport hubs.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9811828448190ac6ddd3e9c221251 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60aaac48190b5b724a19cad5279 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9:01 p.m.