Triple

T13077976
Position Surface form Disambiguated ID Type / Status
Subject Lajes Airport E329627 entity
Predicate alsoKnownAs P39 FINISHED
Object Lajes Field E329629 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 Field | Statement: [Lajes Airport, alsoKnownAs, Lajes Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lajes Field
Context triple: [Lajes Airport, alsoKnownAs, Lajes Field]
  • A. Lajes Field chosen
    Lajes Field is a strategically important military airbase and airport located on Terceira Island in the Azores, Portugal, used by both Portuguese and U.S. forces.
  • B. El Palomar Air Base
    El Palomar Air Base is a major Argentine military airfield located in the Buenos Aires metropolitan area, historically significant as one of the country’s primary air force bases.
  • C. Saufley Field
    Saufley Field is a U.S. Navy airfield near Pensacola, Florida, primarily used for naval aviation training and support operations.
  • D. Santa Lucía Air Force Base
    Santa Lucía Air Force Base is a major Mexican military air installation that serves as a key operational hub for the Mexican Air Force.
  • E. Tutow Air Base
    Tutow Air Base is a former military airfield in northeastern Germany that served as a significant operational base for East German and Soviet air forces during the Cold War.
  • 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.