Triple

T7019294
Position Surface form Disambiguated ID Type / Status
Subject East African Airways E162777 entity
Predicate ICAO airline designator P36333 FINISHED
Object EAA
EAA was the ICAO airline designator for East African Airways, the former multinational flag carrier jointly operated by Kenya, Tanzania, and Uganda.
 E637670 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: EAA | Statement: [East African Airways, ICAO airline designator, EAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EAA
Context triple: [East African Airways, ICAO airline designator, EAA]
  • A. AAR
    AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
  • B. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • C. AAR
    AAR is the commonly used abbreviation for All-American Road, a designation for particularly scenic and culturally significant highways in the United States.
  • D. AerClub
    AerClub is the loyalty and frequent flyer program of Aer Lingus, offering members points, tier benefits, and rewards for their travel with the airline and its partners.
  • E. AER
    AER is a leading peer-reviewed academic journal in economics published by the American Economic Association.
  • 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: EAA
Triple: [East African Airways, ICAO airline designator, EAA]
Generated description
EAA was the ICAO airline designator for East African Airways, the former multinational flag carrier jointly operated by Kenya, Tanzania, and Uganda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EAA
Target entity description: EAA was the ICAO airline designator for East African Airways, the former multinational flag carrier jointly operated by Kenya, Tanzania, and Uganda.
  • A. AAR
    AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
  • B. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • C. AAR
    AAR is the commonly used abbreviation for All-American Road, a designation for particularly scenic and culturally significant highways in the United States.
  • D. AerClub
    AerClub is the loyalty and frequent flyer program of Aer Lingus, offering members points, tier benefits, and rewards for their travel with the airline and its partners.
  • E. AER
    AER is a leading peer-reviewed academic journal in economics published by the American Economic Association.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1e8e36c81908c95a8181781cda4 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775707e30819088b311a1a87eee79 completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c77c260d2c8190bb802ca8ce388a00 completed March 28, 2026, 6:58 a.m.
NED2 Entity disambiguation (via description) batch_69c77c944bf081909335db68da464b4f completed March 28, 2026, 7 a.m.
Created at: March 27, 2026, 2:34 p.m.