Triple

T4384570
Position Surface form Disambiguated ID Type / Status
Subject Assiut Airport E99209 entity
Predicate IATAcode P418 FINISHED
Object ATZ
ATZ is the IATA airport code for Assiut Airport, a regional airport serving the city of Assiut in Egypt.
 E436504 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: ATZ | Statement: [Assiut Airport, IATAcode, ATZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ATZ
Context triple: [Assiut Airport, IATAcode, ATZ]
  • A. ATN
    ATN most likely refers to Augmented Transition Network, a type of finite state machine used in computational linguistics and natural language processing for parsing sentences.
  • B. AZU
    AZU is the ICAO airline designator for Azul Brazilian Airlines, a major low-cost carrier based in Brazil.
  • C. ATAS
    ATAS is the commonly used acronym for the Academy of Television Arts & Sciences, the organization best known for administering the Primetime Emmy Awards.
  • D. AT4
    AT4 is an off-road-focused trim level of the GMC Sierra pickup truck, featuring enhanced suspension, rugged styling, and all-terrain capability.
  • E. ATR
    ATR is a Franco-Italian aircraft manufacturer best known for producing regional turboprop airliners widely used by airlines around the world.
  • 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: ATZ
Triple: [Assiut Airport, IATAcode, ATZ]
Generated description
ATZ is the IATA airport code for Assiut Airport, a regional airport serving the city of Assiut in Egypt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ATZ
Target entity description: ATZ is the IATA airport code for Assiut Airport, a regional airport serving the city of Assiut in Egypt.
  • A. ATN
    ATN most likely refers to Augmented Transition Network, a type of finite state machine used in computational linguistics and natural language processing for parsing sentences.
  • B. AZU
    AZU is the ICAO airline designator for Azul Brazilian Airlines, a major low-cost carrier based in Brazil.
  • C. ATAS
    ATAS is the commonly used acronym for the Academy of Television Arts & Sciences, the organization best known for administering the Primetime Emmy Awards.
  • D. AT4
    AT4 is an off-road-focused trim level of the GMC Sierra pickup truck, featuring enhanced suspension, rugged styling, and all-terrain capability.
  • E. ATR
    ATR is a Franco-Italian aircraft manufacturer best known for producing regional turboprop airliners widely used by airlines around the world.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35263970c8190904ee20d81715833 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e523cc5c8190b9884f83d433982c completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5eeaf35348190a1611f5b04baed1f completed March 14, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69b5ef5c7e0c819080b0e8914dcd6568 completed March 14, 2026, 11:29 p.m.
Created at: March 12, 2026, 11:19 p.m.