Triple

T172566
Position Surface form Disambiguated ID Type / Status
Subject Boeing E3507 entity
Predicate tickerSymbol P1447 FINISHED
Object BA
BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
 E21609 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: [Boeing, tickerSymbol, BA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BA
Context triple: [Boeing, tickerSymbol, BA]
  • A. BE
    BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
  • B. BC
    BC is a private Jesuit research university located in Chestnut Hill, Massachusetts, known for its strong liberal arts programs and competitive NCAA Division I athletics.
  • C. BAH
    BAH is the stock ticker symbol for Booz Allen Hamilton, a major U.S.-based management and technology consulting firm known for its extensive work with government and defense clients.
  • D. ABC
    ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
  • E. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • 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: [Boeing, tickerSymbol, BA]
Generated description
BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BA
Target entity description: BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • A. BE
    BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
  • B. BC
    BC is a private Jesuit research university located in Chestnut Hill, Massachusetts, known for its strong liberal arts programs and competitive NCAA Division I athletics.
  • C. BAH
    BAH is the stock ticker symbol for Booz Allen Hamilton, a major U.S.-based management and technology consulting firm known for its extensive work with government and defense clients.
  • D. ABC
    ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
  • E. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258e0b11c8190b7b5cf3c354c47ce completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2e7e38b8881908c5030f7c9553aff completed Feb. 28, 2026, 1:04 p.m.
NEDg Description generation batch_69a2e8f3e3c08190ae8c3f60eb530268 completed Feb. 28, 2026, 1:09 p.m.
NED2 Entity disambiguation (via description) batch_69a2e9deddf4819090917d418b8daecb completed Feb. 28, 2026, 1:13 p.m.
Created at: Feb. 28, 2026, 2:39 a.m.