Triple

T17681142
Position Surface form Disambiguated ID Type / Status
Subject Eduardo Gomes International Airport E440771 entity
Predicate ICAOcode P419 FINISHED
Object SBEG
SBEG is the ICAO airport code for Eduardo Gomes International Airport, a major airport serving Manaus in the Brazilian state of Amazonas.
 E1281860 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: SBEG | Statement: [Eduardo Gomes International Airport, ICAOcode, SBEG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SBEG
Context triple: [Eduardo Gomes International Airport, ICAOcode, SBEG]
  • 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. SBGE
    SBGE is an academic division that integrates studies in business, public policy, and economics, typically within a university setting.
  • C. SBGL
    SBGL is the ICAO airport code for Rio de Janeiro–Galeão International Airport, a major international gateway serving Rio de Janeiro, Brazil.
  • D. SÉG
    SÉG is the station code for Ségur, a Paris Métro station on Line 10 in the 15th arrondissement of Paris, France.
  • E. SSBG
    SSBG is a federal funding program in the United States that provides flexible grants to states to support a wide range of social services for vulnerable populations.
  • 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: SBEG
Triple: [Eduardo Gomes International Airport, ICAOcode, SBEG]
Generated description
SBEG is the ICAO airport code for Eduardo Gomes International Airport, a major airport serving Manaus in the Brazilian state of Amazonas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SBEG
Target entity description: SBEG is the ICAO airport code for Eduardo Gomes International Airport, a major airport serving Manaus in the Brazilian state of Amazonas.
  • 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. SBGE
    SBGE is an academic division that integrates studies in business, public policy, and economics, typically within a university setting.
  • C. SBGL
    SBGL is the ICAO airport code for Rio de Janeiro–Galeão International Airport, a major international gateway serving Rio de Janeiro, Brazil.
  • D. SÉG
    SÉG is the station code for Ségur, a Paris Métro station on Line 10 in the 15th arrondissement of Paris, France.
  • E. SSBG
    SSBG is a federal funding program in the United States that provides flexible grants to states to support a wide range of social services for vulnerable populations.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e470445b3881908bb0930b986089f7 completed April 19, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02232a4d488190b43226ba2f34e7c0 completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a022446c9d881908ffd0f48e06f5c0e completed May 11, 2026, 6:47 p.m.
NED2 Entity disambiguation (via description) batch_6a0224b3b33881909190dbb5752c758d completed May 11, 2026, 6:49 p.m.
Created at: April 10, 2026, 10:01 a.m.