Triple

T2748747
Position Surface form Disambiguated ID Type / Status
Subject Juanda International Airport E60932 entity
Predicate IATAcode P418 FINISHED
Object SUB
SUB is the IATA airport code for Juanda International Airport serving Surabaya, Indonesia.
 E296224 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: SUB | Statement: [Juanda International Airport, IATAcode, SUB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SUB
Context triple: [Juanda International Airport, IATAcode, SUB]
  • A. SOB
    SOB is the abbreviation for the Special Operations Bureau, a specialized law enforcement or military unit responsible for handling high-risk and complex operations.
  • B. S
    S is the distinctive middle initial of U.S. President Harry S. Truman, famously not standing for any specific name but honoring both of his grandfathers.
  • C. S
    S is the New York City Subway service designation used for the 42nd Street Shuttle, a short line connecting Times Square and Grand Central in Manhattan.
  • D. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • E. SV
    SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
  • 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: SUB
Triple: [Juanda International Airport, IATAcode, SUB]
Generated description
SUB is the IATA airport code for Juanda International Airport serving Surabaya, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SUB
Target entity description: SUB is the IATA airport code for Juanda International Airport serving Surabaya, Indonesia.
  • A. SOB
    SOB is the abbreviation for the Special Operations Bureau, a specialized law enforcement or military unit responsible for handling high-risk and complex operations.
  • B. S
    S is the distinctive middle initial of U.S. President Harry S. Truman, famously not standing for any specific name but honoring both of his grandfathers.
  • C. S
    S is the New York City Subway service designation used for the 42nd Street Shuttle, a short line connecting Times Square and Grand Central in Manhattan.
  • D. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • E. SV
    SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb517a00819084fd8f8933a25212 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbd341a88190ae0f5eb94a6fdc92 completed March 10, 2026, 6:36 a.m.
NEDg Description generation batch_69afbd8563248190af593099ecae84ee completed March 10, 2026, 6:43 a.m.
NED2 Entity disambiguation (via description) batch_69afbdb28a708190bbd4bc6632b8e137 completed March 10, 2026, 6:44 a.m.
Created at: March 6, 2026, 9:56 p.m.