Triple

T22018808
Position Surface form Disambiguated ID Type / Status
Subject Greater Natal International Airport E543782 entity
Predicate ICAOcode P419 FINISHED
Object SBSG
SBSG is the ICAO airport code for Greater Natal International Airport, a major commercial airport serving the Natal region in Brazil.
E1513977 NE FINISHED

How this triple was built (4 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: SBSG | Statement: [Greater Natal International Airport, ICAOcode, SBSG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SBSG
Context triple: [Greater Natal International Airport, ICAOcode, SBSG]
  • A. SBG
    SBG is the abbreviation of the Société Biblique de Genève, a Geneva-based Bible society dedicated to translating, publishing, and distributing the Bible.
  • B. SBSV
    SBSV is the ICAO airport code for Deputado Luís Eduardo Magalhães International Airport serving Salvador, Brazil.
  • C. SBSN
    SBSN is the ICAO airport code for Maestro Wilson Fonseca International Airport in Santarém, Brazil.
  • D. BSG
    BSG is the IATA airport code for Bata Airport, serving the city of Bata in Equatorial Guinea.
  • E. BSG
    BSG is the abbreviation for Germany’s Federal Social Court, the highest court for social law matters in the country.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SBSG
Triple: [Greater Natal International Airport, ICAOcode, SBSG]
Generated description
SBSG is the ICAO airport code for Greater Natal International Airport, a major commercial airport serving the Natal region in Brazil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SBSG
Target entity description: SBSG is the ICAO airport code for Greater Natal International Airport, a major commercial airport serving the Natal region in Brazil.
  • A. SBG
    SBG is the abbreviation of the Société Biblique de Genève, a Geneva-based Bible society dedicated to translating, publishing, and distributing the Bible.
  • B. SBSV
    SBSV is the ICAO airport code for Deputado Luís Eduardo Magalhães International Airport serving Salvador, Brazil.
  • C. SBSN
    SBSN is the ICAO airport code for Maestro Wilson Fonseca International Airport in Santarém, Brazil.
  • D. BSG
    BSG is the IATA airport code for Bata Airport, serving the city of Bata in Equatorial Guinea.
  • E. BSG
    BSG is the abbreviation for Germany’s Federal Social Court, the highest court for social law matters in the country.
  • F. None of above. chosen

Provenance (5 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c5929881908458d07bd33c5edd completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a738382f4819098bd47f00946e65b completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a745e534881909a681b9f2234afa5 completed May 18, 2026, 2:07 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7857e6dc819088b592cdff7d4cf3 completed May 18, 2026, 2:24 a.m.
Created at: April 16, 2026, 8:23 p.m.