Triple

T7153036
Position Surface form Disambiguated ID Type / Status
Subject BA CityFlyer E166739 entity
Predicate ICAOcode P419 FINISHED
Object CFE E611253 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: CFE | Statement: [BA CityFlyer, ICAOcode, CFE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CFE
Context triple: [BA CityFlyer, ICAOcode, CFE]
  • A. CFE chosen
    CFE is the IATA airport code for Clermont-Ferrand Auvergne Airport in central France.
  • B. CEF
    CEF is the abbreviation for the Canadian Expeditionary Force, the field force of the Canadian Army raised for service overseas during the First World War.
  • C. CFC
    CFC is the abbreviation commonly used for the Combined Forces Command, a joint military headquarters coordinating combined operations.
  • D. CFC
    CFC is a leading Canadian institution dedicated to advancing the careers of filmmakers, screenwriters, and other media creators through professional training and development programs.
  • E. CFC
    CFC is a common abbreviation for the Collingwood Football Club, a professional Australian rules football team in the Australian Football League.
  • 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_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.
Created at: March 27, 2026, 2:46 p.m.