Triple

T9302242
Position Surface form Disambiguated ID Type / Status
Subject British European Airways E223793 entity
Predicate ICAOcode P419 FINISHED
Object BEA E790006 NE FINISHED

How this triple was built (2 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: BEA | Statement: [British European Airways, ICAOcode, BEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BEA
Context triple: [British European Airways, ICAOcode, BEA]
  • A. BEA
    BEA is a U.S. government agency that produces key economic statistics, including measures of national income, output, and growth.
  • B. BEA
    BEA is the abbreviation commonly used for the British Electricity Authority, the former nationalized body responsible for electricity generation and transmission in post-war Britain.
  • C. BEA chosen
    BEA was the acronym for British European Airways, a former UK state-owned airline that operated primarily short- and medium-haul routes across Europe before merging into British Airways.
  • D. BEA
    BEA is the French Bureau of Enquiry and Analysis for Civil Aviation Safety, the government agency responsible for investigating civil aviation accidents and incidents.
  • E. BEA Systems
    BEA Systems was a software company best known for its enterprise middleware and application server products that played a major role in early Java-based web and enterprise computing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08d34c4c819095a213360747c3a6 completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0c77b8bf481909c5abf6523f75b2c completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:36 p.m.