Triple

T17722787
Position Surface form Disambiguated ID Type / Status
Subject Silvio Pettirossi International Airport E442383 entity
Predicate ICAOcode P419 FINISHED
Object SGAS
SGAS is the ICAO airport code for Silvio Pettirossi International Airport, the main international gateway serving Asunción, Paraguay.
 E1283403 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: SGAS | Statement: [Silvio Pettirossi International Airport, ICAOcode, SGAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SGAS
Context triple: [Silvio Pettirossi International Airport, ICAOcode, SGAS]
  • A. AGSA
    AGSA was the main state security and intelligence agency of the People's Democratic Party of Afghanistan, responsible for internal surveillance, repression, and political control during its rule.
  • B. SGA
    SGA is a monumental multi-volume seminar series on algebraic geometry, led by Alexander Grothendieck, that profoundly reshaped the foundations and methods of the field.
  • C. SGA
    SGA is the acronym commonly used to refer to the Secretariat-General for Administration, a central administrative body within a governmental or institutional structure.
  • D. SGC
    SGC is the IATA airport code for Surgut International Airport in Russia.
  • E. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • 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: SGAS
Triple: [Silvio Pettirossi International Airport, ICAOcode, SGAS]
Generated description
SGAS is the ICAO airport code for Silvio Pettirossi International Airport, the main international gateway serving Asunción, Paraguay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SGAS
Target entity description: SGAS is the ICAO airport code for Silvio Pettirossi International Airport, the main international gateway serving Asunción, Paraguay.
  • A. AGSA
    AGSA was the main state security and intelligence agency of the People's Democratic Party of Afghanistan, responsible for internal surveillance, repression, and political control during its rule.
  • B. SGA
    SGA is a monumental multi-volume seminar series on algebraic geometry, led by Alexander Grothendieck, that profoundly reshaped the foundations and methods of the field.
  • C. SGA
    SGA is the acronym commonly used to refer to the Secretariat-General for Administration, a central administrative body within a governmental or institutional structure.
  • D. SGC
    SGC is the IATA airport code for Surgut International Airport in Russia.
  • E. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47487b4988190b14237a4e6376e9a completed April 19, 2026, 6:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0230300f548190b9e3bdb6570446ff completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a02315558cc8190829599a78de8eee2 completed May 11, 2026, 7:43 p.m.
NED2 Entity disambiguation (via description) batch_6a0231e54c308190af6f80f42848536d completed May 11, 2026, 7:45 p.m.
Created at: April 10, 2026, 10:07 a.m.