Triple

T3916443
Position Surface form Disambiguated ID Type / Status
Subject El Salvador International Airport E88851 entity
Predicate IATA code P2569 FINISHED
Object SAL
SAL is the three-letter IATA airport code for El Salvador International Airport, the main international gateway to El Salvador.
 E400017 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: SAL | Statement: [El Salvador International Airport, IATA code, SAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SAL
Context triple: [El Salvador International Airport, IATA code, SAL]
  • A. Sal
    Sal is a popular Cape Verdean island known for its white-sand beaches, year-round sunshine, and vibrant seaside resorts centered around the town of Santa Maria.
  • B. SALA
    SALA is an arts festival, known as the South Australian Living Artists Festival, that showcases visual art across venues throughout South Australia.
  • C. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • D. SL
    SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
  • E. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • 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: SAL
Triple: [El Salvador International Airport, IATA code, SAL]
Generated description
SAL is the three-letter IATA airport code for El Salvador International Airport, the main international gateway to El Salvador.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SAL
Target entity description: SAL is the three-letter IATA airport code for El Salvador International Airport, the main international gateway to El Salvador.
  • A. Sal
    Sal is a popular Cape Verdean island known for its white-sand beaches, year-round sunshine, and vibrant seaside resorts centered around the town of Santa Maria.
  • B. SALA
    SALA is an arts festival, known as the South Australian Living Artists Festival, that showcases visual art across venues throughout South Australia.
  • C. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • D. SL
    SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
  • E. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed55fe3881909776652f0d64f66c completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52864e0488190ab348a52cb9168b9 completed March 14, 2026, 9:20 a.m.
NEDg Description generation batch_69b52c3423988190aae6514041dc8ab3 completed March 14, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69b52ca9443481909e43a8bbe208c807 completed March 14, 2026, 9:38 a.m.
Created at: March 9, 2026, 3:22 p.m.