Triple

T7152995
Position Surface form Disambiguated ID Type / Status
Subject British Overseas Airways Corporation E166738 entity
Predicate IATAcode P418 FINISHED
Object BA
BA is the IATA airline designator used by 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 Overseas Airways Corporation, IATAcode, BA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BA
Context triple: [British Overseas Airways Corporation, IATAcode, 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 the vehicle registration code used on license plates for cars registered in Bratislava, the capital city of Slovakia.
  • C. BA
    BA is the two-letter ISO 3166-1 alpha-2 country code assigned to Bosnia and Herzegovina.
  • D. 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.
  • E. BA
    BA is a common abbreviation for Broken Arrow, a suburban city in northeastern Oklahoma.
  • 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 Overseas Airways Corporation, IATAcode, BA]
Generated description
BA is the IATA airline designator used by 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 used by 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 commonly used abbreviation for the British Association for the Advancement of Science, a historic organization dedicated to promoting science and its understanding.
  • E. BA
    BA is the vehicle registration code used on license plates for cars registered in Bratislava, the capital city of Slovakia.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f52c1081908c4fa424d5e965bc completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adb0ea288190b7eef76de30a3a1e completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7ae1bde448190b546d292d213c8c9 completed March 28, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_69c7ae73e1a88190a18488b3155b2542 completed March 28, 2026, 10:33 a.m.
Created at: March 27, 2026, 2:46 p.m.