Triple

T525581
Position Surface form Disambiguated ID Type / Status
Subject French Bee E10909 entity
Predicate ICAOcode P419 FINISHED
Object FBU
FBU is the ICAO airline designator assigned to French Bee, a French low-cost long-haul carrier.
 E65661 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: FBU | Statement: [French Bee, ICAOcode, FBU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FBU
Context triple: [French Bee, ICAOcode, FBU]
  • A. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • B. JFBA
    JFBA is the nationwide professional body representing and regulating lawyers and bar associations in Japan.
  • C. FBS
    FBS (Football Bowl Subdivision) is the highest level of NCAA Division I college football in the United States, featuring the largest programs and major bowl games.
  • D. FCB
    FCB is the abbreviation commonly used for the Cuban Baseball Federation, the governing body for organized baseball in Cuba.
  • E. FJCC
    FJCC was a major mid-20th-century U.S. computing conference that served as a key forum for presenting influential research and developments in computer science and technology.
  • 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: FBU
Triple: [French Bee, ICAOcode, FBU]
Generated description
FBU is the ICAO airline designator assigned to French Bee, a French low-cost long-haul carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FBU
Target entity description: FBU is the ICAO airline designator assigned to French Bee, a French low-cost long-haul carrier.
  • A. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • B. JFBA
    JFBA is the nationwide professional body representing and regulating lawyers and bar associations in Japan.
  • C. FBS
    FBS (Football Bowl Subdivision) is the highest level of NCAA Division I college football in the United States, featuring the largest programs and major bowl games.
  • D. FCB
    FCB is the abbreviation commonly used for the Cuban Baseball Federation, the governing body for organized baseball in Cuba.
  • E. FJCC
    FJCC was a major mid-20th-century U.S. computing conference that served as a key forum for presenting influential research and developments in computer science and technology.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b7f448819087e5e7f3b37d7142 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b23f97448190bd85a8c85d338039 completed March 1, 2026, 9:40 p.m.
NEDg Description generation batch_69a4b2c975ec8190bc16f146f89c3f05 completed March 1, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_69a4b343f8f88190bd011924dd485bef completed March 1, 2026, 9:44 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.