Triple

T4208573
Position Surface form Disambiguated ID Type / Status
Subject Air France Flight 447 E93840 entity
Predicate aircraftRegistration P5244 FINISHED
Object F-GZCP
F-GZCP was the Airbus A330-203 aircraft operated by Air France that was lost over the Atlantic Ocean during Flight 447 in 2009.
 E420896 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: F-GZCP | Statement: [Air France Flight 447, aircraftRegistration, F-GZCP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: F-GZCP
Context triple: [Air France Flight 447, aircraftRegistration, F-GZCP]
  • A. GZP
    GZP is the ICAO airline designator assigned to Gazpromavia, the Russian airline owned by the energy company Gazprom.
  • B. FGP
    FGP is the stock ticker symbol for FirstGroup, a leading UK-based transport operator running bus and rail services in the United Kingdom and North America.
  • C. GZQ
    GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
  • D. GFSZA
    GFSZA is a U.S. federal law that prohibits unauthorized individuals from knowingly possessing firearms in school zones.
  • E. FhG
    FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
  • 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: F-GZCP
Triple: [Air France Flight 447, aircraftRegistration, F-GZCP]
Generated description
F-GZCP was the Airbus A330-203 aircraft operated by Air France that was lost over the Atlantic Ocean during Flight 447 in 2009.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: F-GZCP
Target entity description: F-GZCP was the Airbus A330-203 aircraft operated by Air France that was lost over the Atlantic Ocean during Flight 447 in 2009.
  • A. GZP
    GZP is the ICAO airline designator assigned to Gazpromavia, the Russian airline owned by the energy company Gazprom.
  • B. FGP
    FGP is the stock ticker symbol for FirstGroup, a leading UK-based transport operator running bus and rail services in the United Kingdom and North America.
  • C. GZQ
    GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
  • D. GFSZA
    GFSZA is a U.S. federal law that prohibits unauthorized individuals from knowingly possessing firearms in school zones.
  • E. FhG
    FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3480f80208190b08ca6ccfe9c41f6 completed March 12, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5962bb63c81909e28a958323edb82 completed March 14, 2026, 5:08 p.m.
NEDg Description generation batch_69b596b7330081908c66a5a756531ffd completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b5976663d88190a73a729554e91074 completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:03 p.m.