Triple

T6163807
Position Surface form Disambiguated ID Type / Status
Subject Hazrat Shahjalal International Airport E137507 entity
Predicate previousICAOcode P18649 FINISHED
Object VGZR
VGZR was the former ICAO airport code assigned to Hazrat Shahjalal International Airport in Dhaka, Bangladesh.
 E573564 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: VGZR | Statement: [Hazrat Shahjalal International Airport, previousICAOcode, VGZR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VGZR
Context triple: [Hazrat Shahjalal International Airport, previousICAOcode, VGZR]
  • A. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • B. VZIO
    VZIO is the stock ticker symbol for Vizio Holding Corp., an American company known for manufacturing affordable smart TVs and related consumer electronics.
  • C. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • D. GVG
    GVG is the standard abbreviation for the German Courts Constitution Act, a key statute that regulates the structure and jurisdiction of the ordinary courts in Germany.
  • E. VRG
    VRG is the ICAO airline designator for Varig, the former Brazilian flag carrier and one of Latin America's historically significant airlines.
  • 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: VGZR
Triple: [Hazrat Shahjalal International Airport, previousICAOcode, VGZR]
Generated description
VGZR was the former ICAO airport code assigned to Hazrat Shahjalal International Airport in Dhaka, Bangladesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VGZR
Target entity description: VGZR was the former ICAO airport code assigned to Hazrat Shahjalal International Airport in Dhaka, Bangladesh.
  • A. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • B. VZIO
    VZIO is the stock ticker symbol for Vizio Holding Corp., an American company known for manufacturing affordable smart TVs and related consumer electronics.
  • C. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • D. GVG
    GVG is the standard abbreviation for the German Courts Constitution Act, a key statute that regulates the structure and jurisdiction of the ordinary courts in Germany.
  • E. VRG
    VRG is the ICAO airline designator for Varig, the former Brazilian flag carrier and one of Latin America's historically significant airlines.
  • 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.