Triple

T1344209
Position Surface form Disambiguated ID Type / Status
Subject Lisbon Airport E28532 entity
Predicate alternativeName P39 FINISHED
Object Aeroporto Humberto Delgado E19499 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: Aeroporto Humberto Delgado | Statement: [Lisbon Airport, alternativeName, Aeroporto Humberto Delgado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aeroporto Humberto Delgado
Context triple: [Lisbon Airport, alternativeName, Aeroporto Humberto Delgado]
  • A. 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.
  • B. João Paulo II Airport
    João Paulo II Airport is the main international airport serving Ponta Delgada on São Miguel Island in the Azores archipelago of Portugal.
  • C. Humberto Delgado Airport chosen
    Humberto Delgado Airport is the main international airport serving Lisbon and one of Portugal’s busiest air transport hubs.
  • D. Rafael Núñez International Airport
    Rafael Núñez International Airport is the main commercial airport serving the coastal city of Cartagena on Colombia’s Caribbean coast.
  • E. Santos Dumont Airport
    Santos Dumont Airport is a central domestic airport in Rio de Janeiro, Brazil, known for its short runway, scenic approach over Guanabara Bay, and proximity to the city’s downtown area.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23b8a9081908b78405d4ef806af completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc6351cbc81909e2ffc692ee92b54 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:56 p.m.