Triple

T6163805
Position Surface form Disambiguated ID Type / Status
Subject Hazrat Shahjalal International Airport E137507 entity
Predicate IATAcode P418 FINISHED
Object DAC
DAC is the three-letter IATA airport code for Hazrat Shahjalal International Airport serving Dhaka, Bangladesh.
 E573562 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: DAC | Statement: [Hazrat Shahjalal International Airport, IATAcode, DAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DAC
Context triple: [Hazrat Shahjalal International Airport, IATAcode, DAC]
  • A. ADC
    ADC is a former U.S. federal assistance program that provided financial support to low-income families with dependent children.
  • B. ADC
    ADC is a renowned student-run theatre in Cambridge, England, known for hosting a wide range of amateur and university theatrical productions.
  • C. DA
    DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
  • D. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • E. DA
    DA is the commonly used abbreviation for the Defence Academy of the United Kingdom, the institution responsible for advanced education and training of the UK’s armed forces and defence personnel.
  • 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: DAC
Triple: [Hazrat Shahjalal International Airport, IATAcode, DAC]
Generated description
DAC is the three-letter IATA airport code for Hazrat Shahjalal International Airport serving Dhaka, Bangladesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DAC
Target entity description: DAC is the three-letter IATA airport code for Hazrat Shahjalal International Airport serving Dhaka, Bangladesh.
  • A. ADC
    ADC is a former U.S. federal assistance program that provided financial support to low-income families with dependent children.
  • B. ADC
    ADC is a renowned student-run theatre in Cambridge, England, known for hosting a wide range of amateur and university theatrical productions.
  • C. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • D. DA
    DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
  • E. DA
    DA is the commonly used abbreviation for the Defence Academy of the United Kingdom, the institution responsible for advanced education and training of the UK’s armed forces and defence personnel.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d6036f88190a4bf540e7fe8d48d completed March 22, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1419e7f0481908b7ce6f36871f1ad completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c14855288881909b842db040fe5c54 completed March 23, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69c148d16c048190a473e8f49df43705 completed March 23, 2026, 2:06 p.m.
Created at: March 22, 2026, 4:17 p.m.