Triple

T14743667
Position Surface form Disambiguated ID Type / Status
Subject British Airways Executive Club E346411 entity
Predicate operatorIATA P12360 FINISHED
Object BA
BA is the IATA airline designator for British Airways, the United Kingdom’s flag carrier and one of the world’s largest international airlines.
E370604 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: BA | Statement: [British Airways Executive Club, operatorIATA, BA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BA
Context triple: [British Airways Executive Club, operatorIATA, BA]
  • A. BA
    BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • B. BA
    BA is a common abbreviation for Broken Arrow, a suburban city in northeastern Oklahoma.
  • C. BA
    BA is the station code for Bathurst station on the Toronto Transit Commission subway system.
  • D. BA
    BA is the former stock ticker symbol for Bell Aliant, a Canadian telecommunications company that provided internet, phone, and TV services primarily in Atlantic Canada before being acquired by Bell Canada.
  • E. BA
    BA is the station code for Balderas, a metro station in Mexico City’s rapid transit system.
  • 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: BA
Triple: [British Airways Executive Club, operatorIATA, BA]
Generated description
BA is the IATA airline designator for British Airways, the United Kingdom’s flag carrier and one of the world’s largest international airlines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BA
Target entity description: BA is the IATA airline designator for British Airways, the United Kingdom’s flag carrier and one of the world’s largest international airlines.
  • A. BA chosen
    BA is the IATA code for British Airways, the United Kingdom’s flag carrier and one of the world’s largest international airlines.
  • B. BA
    BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • C. BA
    BA is the commonly used abbreviation for the British Academy, the United Kingdom’s national academy for the humanities and social sciences.
  • D. BA
    BA is the former stock ticker symbol for Bell Aliant, a Canadian telecommunications company that provided internet, phone, and TV services primarily in Atlantic Canada before being acquired by Bell Canada.
  • E. BA
    BA is the commonly used abbreviation for the British Association for the Advancement of Science, a historic organization dedicated to promoting science and its understanding.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7367a1c819081082cc355e385fa completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb93e94c8190beba605e26d4552c completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fdff025e00819089ad734f74b64f26 completed May 8, 2026, 3:19 p.m.
NED2 Entity disambiguation (via description) batch_69fdff8bdefc8190a4a66c742e1cae83 completed May 8, 2026, 3:21 p.m.
Created at: April 10, 2026, 1:30 a.m.