Triple

T12531745
Position Surface form Disambiguated ID Type / Status
Subject Aegean Airlines E299583 entity
Predicate IATA code P2569 FINISHED
Object A3
A3 is the IATA airline designator assigned to Aegean Airlines, the largest Greek airline.
 E299583 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: A3 | Statement: [Aegean Airlines, IATA code, A3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A3
Context triple: [Aegean Airlines, IATA code, A3]
  • A. A3
    A3 is a major national highway in Zimbabwe that serves as an important route connecting key towns and regions within the country.
  • B. A3
    A3 is a British band best known for its eclectic fusion of rock, electronic, blues, and country influences, including the song used as the theme for the TV series "The Sopranos."
  • C. A3
    A3 is the station code assigned to Hua Mak station on Bangkok’s Airport Rail Link transit system.
  • D. A3
    A3 is a major Swiss motorway that runs across the country’s north, connecting key cities and regions as part of the national highway network.
  • E. A3
    A3 is a major German autobahn that runs across several federal states, serving as an important east–west transport corridor.
  • 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: A3
Triple: [Aegean Airlines, IATA code, A3]
Generated description
A3 is the IATA airline designator assigned to Aegean Airlines, the largest Greek airline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A3
Target entity description: A3 is the IATA airline designator assigned to Aegean Airlines, the largest Greek airline.
  • A. A3 chosen
    A3 is the IATA airline designator for Aegean Airlines, the largest Greek airline and a member of the Star Alliance.
  • B. A3
    A3 is a French autoroute designation for a major motorway segment within the national highway network.
  • C. A3
    A3 is the station code assigned to Hua Mak station on Bangkok’s Airport Rail Link transit system.
  • D. A3
    A3 is a major German autobahn that runs across several federal states, serving as an important east–west transport corridor.
  • E. A3
    A3 is a major Swiss motorway that runs across the country’s north, connecting key cities and regions as part of the national highway network.
  • F. None of above.

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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95469d100819087c83bc55e3ec9ce completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc8866c81908821525b595715e2 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64da25bf88190889273bf41e2f154 completed May 2, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69f65213ed84819086fda178aaf9e774 completed May 2, 2026, 7:35 p.m.
Created at: April 8, 2026, 9:57 p.m.