Triple

T494956
Position Surface form Disambiguated ID Type / Status
Subject Qantas E10272 entity
Predicate ICAOcode P419 FINISHED
Object QFA
QFA is the ICAO airline designator used in flight operations and air traffic control to identify Qantas Airways flights.
 E61640 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: QFA | Statement: [Qantas, ICAOcode, QFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QFA
Context triple: [Qantas, ICAOcode, QFA]
  • A. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • B. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • C. FC
    FC is the standard abbreviation for Fibre Channel, a high-speed network technology primarily used to connect computer data storage in storage area networks.
  • D. FAR
    FAR is the acronym for Cuba’s national military organization, the Revolutionary Armed Forces.
  • E. CAF
    CAF is the commonly used acronym for the Canadian Armed Forces, the unified military organization responsible for defending Canada and supporting international peace and security operations.
  • 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: QFA
Triple: [Qantas, ICAOcode, QFA]
Generated description
QFA is the ICAO airline designator used in flight operations and air traffic control to identify Qantas Airways flights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QFA
Target entity description: QFA is the ICAO airline designator used in flight operations and air traffic control to identify Qantas Airways flights.
  • A. QF chosen
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • B. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • C. FC
    FC is the standard abbreviation for Fibre Channel, a high-speed network technology primarily used to connect computer data storage in storage area networks.
  • D. FAR
    FAR is the acronym for Cuba’s national military organization, the Revolutionary Armed Forces.
  • E. CAF
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f0fdd5608190815fa36485df8962 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a481ee2e348190b26b02990b4fb866 completed March 1, 2026, 6:14 p.m.
NEDg Description generation batch_69a482749e78819093f8f81090eedfa2 completed March 1, 2026, 6:16 p.m.
NED2 Entity disambiguation (via description) batch_69a483073dcc8190b05f89a81207d3d2 completed March 1, 2026, 6:18 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.